Niki Trigoni : Publications

Books

• [1]

  Learning from Data Streams: Processing Techniques in Sensor Networks. Chapter 6: Querying of Sensor Data

  Niki Trigoni‚ Alexandre Guitton and Antonios Skordylis

  Chapter 6. Springer. November, 2007.

  Details about Learning from Data Streams: Processing Techniques in Sensor Networks. Chapter 6: Querying of Sensor Data | BibTeX data for Learning from Data Streams: Processing Techniques in Sensor Networks. Chapter 6: Querying of Sensor Data

Book chapters

• [1]

  Advances and Challenges in Underground Sensing

  Christian Wietfeld Suk−Un Yoon Andrew Markham Niki Trigoni Traian E Abrudan Orfeas Kypris

  In Underground Sensing. Chapter Advances and Challenges in Underground Sensing. 2017.

  Details about Advances and Challenges in Underground Sensing | BibTeX data for Advances and Challenges in Underground Sensing

• [2]

  Magneto−Inductive Underground Tracking: Principles and Systems

  T. Abrudan‚ O. Kypris‚ N. Trigoni and A. Markham

  In Elsevier, editor, Underground Sensing: Monitoring and hazard detection for environment and infrastructure − 1st edition. Chapter 8.2. 2016.

  Details about Magneto−Inductive Underground Tracking: Principles and Systems | BibTeX data for Magneto−Inductive Underground Tracking: Principles and Systems | Download  (pdf) of Magneto−Inductive Underground Tracking: Principles and Systems

• [3]

  Directions in Multi−Query Optimization for Sensor Networks

  Alan Demers‚ Johannes Gehrke‚ Rajmohan Rajaraman‚ Niki Trigoni and Yong Yao.

  Pages 179−197. Springer. 2004.

  Details about Directions in Multi−Query Optimization for Sensor Networks | BibTeX data for Directions in Multi−Query Optimization for Sensor Networks

Journal papers

• [1]

  mmPoint: Dense Human Point Cloud Generation from mmWave

  Qian Xie‚ Qianyi Deng‚ Ta−Ying Cheng‚ Peijun Zhao‚ Amir Patel‚ Niki Trigoni and Andrew Markham

  In British Machine Vision Conference (BMVC). 2023.

  Details about mmPoint: Dense Human Point Cloud Generation from mmWave | BibTeX data for mmPoint: Dense Human Point Cloud Generation from mmWave | Download  (pdf) of mmPoint: Dense Human Point Cloud Generation from mmWave

• [2]

  Beyond Fusion: Modality Hallucination−based Multispectral Fusion for Pedestrian Detection

  Qian Xie‚ Ta−Ying Cheng‚ Jia−Xing Zhong‚ Kaichen Zhou‚ Andrew Markham and Niki Trigoni

  In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023.

  Details about Beyond Fusion: Modality Hallucination−based Multispectral Fusion for Pedestrian Detection | BibTeX data for Beyond Fusion: Modality Hallucination−based Multispectral Fusion for Pedestrian Detection | Download  (pdf) of Beyond Fusion: Modality Hallucination−based Multispectral Fusion for Pedestrian Detection

• [3]

  Illumination−Aware Hallucination−Based Domain Adaptation for Thermal Pedestrian Detection

  Qian Xie‚ Ta−Ying Cheng‚ Zhuangzhuang Dai‚ Vu Tran‚ Niki Trigoni and Andrew Markham

  In IEEE Transactions on Intelligent Transportation. 2023.

  Details about Illumination−Aware Hallucination−Based Domain Adaptation for Thermal Pedestrian Detection | BibTeX data for Illumination−Aware Hallucination−Based Domain Adaptation for Thermal Pedestrian Detection | Download  (pdf) of Illumination−Aware Hallucination−Based Domain Adaptation for Thermal Pedestrian Detection

• [4]

  PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization

  Wei Wang‚ Bing Wang‚ Peijun Zhao‚ Changhao Chen‚ Ronald Clark‚ Bo Yang‚ Andrew Markham and Niki Trigoni

  In IEEE Sensors Journal. 2021.

  Details about PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization | BibTeX data for PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization | Download  (pdf) of PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization

• [5]

  3D Motion Capture of an Unmodified Drone with Single−Chip Millimeter Wave Radar

  N. Trigoni Z.Peijun C.X. Lu B. Wang and A. Markham

  In IEEE International Conference on Robotics and Automation (ICRA). 2021.

  Details about 3D Motion Capture of an Unmodified Drone with Single−Chip Millimeter Wave Radar | BibTeX data for 3D Motion Capture of an Unmodified Drone with Single−Chip Millimeter Wave Radar | Download  (pdf) of 3D Motion Capture of an Unmodified Drone with Single−Chip Millimeter Wave Radar

• [6]

  P2−Net: Joint Description and Detection of Local Features for Pixel and Point Matching

  Bing Wang‚ Changhao Chen‚ Zhaopeng Cui‚ Jie Qin‚ Chris Xiaoxuan Lu‚ Zhengdi Yu‚ Peijun Zhao‚ Zhen Dong‚ Fan Zhu‚ Niki Trigoni and Andrew Markham

  2021.

  Details about P2−Net: Joint Description and Detection of Local Features for Pixel and Point Matching | BibTeX data for P2−Net: Joint Description and Detection of Local Features for Pixel and Point Matching

• [7]

  iMag+: An Accurate and Rapidly Deployable Inertial Magneto−Inductive SLAM System

  N. Trigoni B. Wei and A. Markham

  In IEEE Transactions on Mobile Computing. 2021.

  Details about iMag+: An Accurate and Rapidly Deployable Inertial Magneto−Inductive SLAM System | BibTeX data for iMag+: An Accurate and Rapidly Deployable Inertial Magneto−Inductive SLAM System

• [8]

  Human tracking and identification through a millimeter wave radar

  Peijun Zhao‚ Chris Xiaoxuan Lu‚ Jianan Wang‚ Changhao Chen‚ Wei Wang‚ Niki Trigoni and Andrew Markham

  In Ad Hoc Networks Elsevier. 2021.

  Details about Human tracking and identification through a millimeter wave radar | BibTeX data for Human tracking and identification through a millimeter wave radar

• [9]

  Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling

  N.i Trigoni Q. Hu B. Yang L. Xie S. Rosa Y. Guo Z. Wang and A. Markham

  In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021.

  Details about Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling | BibTeX data for Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling

• [10]

  RadarLoc: Learning to Relocalize in FMCW Radar

  Wei Wang Pedro P. B. de Gusmao Bo Yang Andrew Markham and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2021.

  Details about RadarLoc: Learning to Relocalize in FMCW Radar | BibTeX data for RadarLoc: Learning to Relocalize in FMCW Radar | Download  (pdf) of RadarLoc: Learning to Relocalize in FMCW Radar

• [11]

  VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization

  Kaichen Zhou Changhao Chen Bing Wang Muhamad Risqi U. Saputra Niki Trigoni and Andrew Markham

  In AAAI Conference on Artificial Intelligence (AAAI). 2021.

  Details about VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | BibTeX data for VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization | Download  (pdf) of VMLoc: Variational Fusion For Learning−Based Multimodal Camera Localization

• [12]

  milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion

  C. X. Lu M. R. U. Saputra P. Zhao Y. Almalioglu P. P. B. d. Gusmao C. Chen K. Sun N. Trigoni and A. Markham

  In ACM Conference on Embedded Networked Sensor Systems (SenSys). 2020.

  Details about milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion | BibTeX data for milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion | Download  (pdf) of milliEgo: Single−chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion

• [13]

  FootSLAM meets Adaptive Thresholding

  Johan Wahlström‚ Andrew Markham and Niki Trigoni

  In IEEE Sensors Journal. 2020.

  Details about FootSLAM meets Adaptive Thresholding | BibTeX data for FootSLAM meets Adaptive Thresholding

• [14]

  RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds

  Qingyong Hu‚ Bo Yang‚ Linhai Xie‚ Stefano Rosa‚ Yulan Guo‚ Zhihua Wang‚ Niki Trigoni and Andrew Markham

  In IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR Oral). 2020.

  Details about RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | BibTeX data for RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | Download  (pdf) of RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | Link to RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds

• [15]

  DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination

  M.R.U. Saputra P.P.B. de Gusmao C.X. Lu Y. Almalioglu S. Rosa C. Chen J. Wahlstrom W. Wang A. Markham and N. Trigoni

  In IEEE Robotics and Automation Letters (RAL) + IEEE ICRA. 2020.

  Details about DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | BibTeX data for DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination | Download  (pdf) of DeepTIO: A Deep Thermal−Inertial Odometry with Visual Hallucination

• [16]

  Deep Learning based Pedestrian Inertial Navigation: Methods‚ Dataset and On−Device Inference

  Changhao Chen‚ Peijun Zhao‚ Chris Xiaoxuan Lu‚ Wei Wang‚ Andrew Markham and Niki Trigoni

  In IEEE Internet of Things Journal. 2020.

  Details about Deep Learning based Pedestrian Inertial Navigation: Methods‚ Dataset and On−Device Inference | BibTeX data for Deep Learning based Pedestrian Inertial Navigation: Methods‚ Dataset and On−Device Inference | Download  (pdf) of Deep Learning based Pedestrian Inertial Navigation: Methods‚ Dataset and On−Device Inference

• [17]

  Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units

  Changhao Chen‚ Chris Xiaoxuan Lu‚ Johan Wahlstrom‚ Andrew Markham and Niki Trigoni

  In IEEE Transactions on Mobile Computing. 2020.

  Details about Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units | BibTeX data for Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units | Download  (pdf) of Deep Neural Network Based Inertial Odometry Using Low−cost Inertial Measurement Units

• [18]

  Sensor Fusion for Magneto−Inductive Navigation

  Johan Wahlström Manon Kok Pedro Porto Buarque de Gusmsao Traian E. Abrudan Niki Trigoni and Andrew Markham

  In IEEE Sensors Journal. 2019.

  Details about Sensor Fusion for Magneto−Inductive Navigation | BibTeX data for Sensor Fusion for Magneto−Inductive Navigation | DOI (10.1109/JSEN.2019.2942451) | Link to Sensor Fusion for Magneto−Inductive Navigation

• [19]

  Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

  Bo Yang‚ Jianan Wang‚ Ronald Clark‚ Qingyong Hu‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In Conference on Neural Information Processing Systems (NeurIPS Spotlight). 2019.

  Details about Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | BibTeX data for Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | Download  (pdf) of Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | Link to Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

• [20]

  Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction

  Bo Yang‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In International Journal of Computer Vision (IJCV). 2019.

  Details about Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | BibTeX data for Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | Download  (pdf) of Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | DOI (10.1007/s11263-019-01217-w)

• [21]

  Autonomous Learning of Speaker Identity and WiFi Geofence from Noisy Sensor Data

  Chris Xiaoxuan Lu‚ Yuanbo Xiangli‚ Peijun Zhao‚ Changhao Chen‚ Niki Trigoni and Andrew Markham

  In IEEE Internet of Things Journal. 2019.

  Details about Autonomous Learning of Speaker Identity and WiFi Geofence from Noisy Sensor Data | BibTeX data for Autonomous Learning of Speaker Identity and WiFi Geofence from Noisy Sensor Data | Download  (pdf) of Autonomous Learning of Speaker Identity and WiFi Geofence from Noisy Sensor Data

• [22]

  Distilling Knowledge From a Deep Pose Regressor Network

  Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Yasin Almalioglu Andrew Markham and Niki Trigoni

  In IEEE/CVF International Conference on Computer Vision (ICCV). 2019.

  Details about Distilling Knowledge From a Deep Pose Regressor Network | BibTeX data for Distilling Knowledge From a Deep Pose Regressor Network | Download of Distilling Knowledge From a Deep Pose Regressor Network

• [23]

  DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network

  Wei Wang Muhamad Risqi U. Saputra Peijun Zhao Pedro Gusmao Bo Yang Changhao Chen Andrew Markham and Niki Trigoni

  In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2019.

  Details about DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network | BibTeX data for DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network | Download  (pdf) of DeepPCO: End−to−end Point Cloud Odometry through Deep Parallel Neural Network

• [24]

  Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding

  Johan Wahlström‚ Isaac Skog‚ Fredrik Gustafsson‚ Andrew Markham and Niki Trigoni

  In IEEE Sensors Letters. 2019.

  Details about Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding | BibTeX data for Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding | Link to Zero−Velocity Detection – A Bayesian Approach to Adaptive Thresholding

• [25]

  Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning

  Muhamad Risqi U. Saputra Pedro P. B. de Gusmao Sen Wang Andrew Markham and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2019.

  Details about Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | BibTeX data for Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning | Download  (pdf) of Learning Monocular Visual Odometry through Geometry−Aware Curriculum Learning

• [26]

  GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

  Y. Almalioglu M. R. U. Saputra P. P. de Gusmao A. Markham and N. Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2019.

  Details about GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | BibTeX data for GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks | Download  (pdf) of GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

• [27]

  Semantic Place Understanding for Human−Robot Coexistence − Towards Intelligent Workplaces

  Stefano Rosa‚ Andrea Patane‚ Chris Xiaoxuan Lu and Niki Trigoni

  In IEEE Transactions on Human−Machine Systems. Pages 1−11. October, 2018.

  Details about Semantic Place Understanding for Human−Robot Coexistence − Towards Intelligent Workplaces | BibTeX data for Semantic Place Understanding for Human−Robot Coexistence − Towards Intelligent Workplaces | Download of Semantic Place Understanding for Human−Robot Coexistence − Towards Intelligent Workplaces

• [28]

  Dense 3D Object Reconstruction from a Single Depth View

  Bo Yang‚ Stefano Rosa‚ Andrew Markham‚ Niki Trigoni and Hongkai Wen

  In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2018.

  Details about Dense 3D Object Reconstruction from a Single Depth View | BibTeX data for Dense 3D Object Reconstruction from a Single Depth View | Download  (pdf) of Dense 3D Object Reconstruction from a Single Depth View | DOI (10.1109/TPAMI.2018.2868195)

• [29]

  Graph−theoretic approach for UAV−aided network connectivity

  Sonia Waharte and Niki Trigoni

  In ACM Mobisys − 4th Workshop on Micro Aerial Vehicle Networks‚ Systems‚ and Applications for Civilian Use (DroNet). 2018.

  Details about Graph−theoretic approach for UAV−aided network connectivity | BibTeX data for Graph−theoretic approach for UAV−aided network connectivity | Download of Graph−theoretic approach for UAV−aided network connectivity

• [30]

  Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning

  N Trigoni L Xie S Wang S Rosa AC Markham

  In IEEE Intl Conference on Robotics and Automation (ICRA). 2018.

  Details about Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning | BibTeX data for Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning | Download  (pdf) of Learning with training wheels: Speeding up training with a simple controller for deep reinforcement learning

• [31]

  iMag: Accurate and rapidly deployable inertial magneto−inductive localisation

  N. Trigoni B. Wei and A.C. Markham

  In IEEE Intl Conference on Robotics and Automation (ICRA). 2018.

  Details about iMag: Accurate and rapidly deployable inertial magneto−inductive localisation | BibTeX data for iMag: Accurate and rapidly deployable inertial magneto−inductive localisation | Download  (pdf) of iMag: Accurate and rapidly deployable inertial magneto−inductive localisation

• [32]

  Performance evaluation of IEEE 802.15. 4 with real time queueing analysis

  L Jiang Z Xiao J Zhou J Yan C He and N Trigoni

  In Ad Hoc Networks 73‚ 80−94. 2018.

  Details about Performance evaluation of IEEE 802.15. 4 with real time queueing analysis | BibTeX data for Performance evaluation of IEEE 802.15. 4 with real time queueing analysis | Download  (pdf) of Performance evaluation of IEEE 802.15. 4 with real time queueing analysis

• [33]

  Visual SLAM and Structure from Motion in Dynamic Environments: A Survey

  M. R. U. Saputra; A. Markham; and N. Trigoni

  In ACM Computing Surveys (CSUR) 51 (2)‚ 37. 2018.

  Details about Visual SLAM and Structure from Motion in Dynamic Environments: A Survey | BibTeX data for Visual SLAM and Structure from Motion in Dynamic Environments: A Survey | Download  (pdf) of Visual SLAM and Structure from Motion in Dynamic Environments: A Survey

• [34]

  Efficient Indoor Positioning with Visual Experiences via Lifelong Learning

  Hongkai Wen‚ Ronald Clark‚ Sen Wang‚ Xiaoxuan Lu‚ Bowen Du‚ Wen Hu and Niki Trigoni

  In IEEE Transactions on Mobile Computing (TMC). 2018.

  Details about Efficient Indoor Positioning with Visual Experiences via Lifelong Learning | BibTeX data for Efficient Indoor Positioning with Visual Experiences via Lifelong Learning | Download  (pdf) of Efficient Indoor Positioning with Visual Experiences via Lifelong Learning

• [35]

  Neighbor−aided localization in vehicular networks

  João Barros Susana B Cruz Traian E Abrudan Zhuoling Xiao Niki Trigoni

  In IEEE Transactions on Intelligent Transportation Systems (vol 18‚ issue 10). 2017.

  Details about Neighbor−aided localization in vehicular networks | BibTeX data for Neighbor−aided localization in vehicular networks | Download  (pdf) of Neighbor−aided localization in vehicular networks

• [36]

  An active‐radio‐frequency‐identification system capable of identifying co‐locations and social‐structure: Validation with a wild free‐ranging animal

  David W Macdonald Stephen A Ellwood Chris Newman Robert A Montgomery Vincenzo Nicosia Christina D Buesching Andrew Markham Cecilia Mascolo Niki Trigoni Bence Pasztor Vladimir Dyo Vito Latora Sandra E Baker

  In Methods in Ecology and Evolution‚ vol. 8‚ issue 12. 2017.

  Details about An active‐radio‐frequency‐identification system capable of identifying co‐locations and social‐structure: Validation with a wild free‐ranging animal | BibTeX data for An active‐radio‐frequency‐identification system capable of identifying co‐locations and social‐structure: Validation with a wild free‐ranging animal | Download  (pdf) of An active‐radio‐frequency‐identification system capable of identifying co‐locations and social‐structure: Validation with a wild free‐ranging animal

• [37]

  3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning

  Bo Yang‚ Hongkai Wen‚ Sen Wang‚ Ronald Clark‚ Andrew Markham and Niki Trigoni

  In International Conference on Computer Vision (ICCV) Workshops. 2017.

  Details about 3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning | BibTeX data for 3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning | Download  (pdf) of 3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning | DOI (10.1109/ICCVW.2017.86)

• [38]

  DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks

  S. Wang‚ R. Clark‚ H. Wen and N. Trigoni

  In International Conference on Robotics and Automation. 2017.

  Details about DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks | BibTeX data for DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks | Download  (pdf) of DeepVO: Towards End−to−End Visual Odometry with Deep Recurrent Convolutional Neural Networks

• [39]

  Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data

  Ronald Clark‚ Sen Wang‚ Hongkai Wen‚ Niki Trigoni and Andrew Markham

  In IEEE−RAS 16th International Conference on Humanoid Robots. 2016.

  Details about Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data | BibTeX data for Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data | Download Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal.pdf of Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data | Download PublicationFile of Increasing the efficiency of 6−DoF visual localization using multi−modal sensory data

• [40]

  Tracking People in Highly Dynamic Industrial Environments

  S. Papaioannou‚ A. Markham and N. Trigoni

  In IEEE Transactions on Mobile Computing (Issue: 99). 2016.

  Details about Tracking People in Highly Dynamic Industrial Environments | BibTeX data for Tracking People in Highly Dynamic Industrial Environments | Download  (pdf) of Tracking People in Highly Dynamic Industrial Environments

• [41]

  Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization

  T. Abrudan‚ O. Kypris‚ N. Trigoni and A. Markham

  In IEEE Access arXiv preprint arXiv:1606.03065. 2016.

  Details about Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization | BibTeX data for Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization | Download  (pdf) of Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization

• [42]

  Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network

  T. Abrudan‚ Z. Xiao‚ A. Markham and N. Trigoni

  In IEEE Transactions on Geoscience and Remote Sensing 54(8). Pages 4376−4391. 2016.

  Details about Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network | BibTeX data for Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network | Download  (pdf) of Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network

• [43]

  Gaussian Process Regression for Fingerprinting based Localization

  Sudhir Kumar‚ Rajesh M. Hegde and Niki Trigoni

  In Elsevier Ad Hoc Networks. 2016.

  Details about Gaussian Process Regression for Fingerprinting based Localization | BibTeX data for Gaussian Process Regression for Fingerprinting based Localization | Link to Gaussian Process Regression for Fingerprinting based Localization

• [44]

  Robust vision−based indoor localization

  Ronald Clark‚ Niki Trigoni and Andrew Markham

  In Proceedings of the 14th international conference on information processing in sensor networks (IPSN) − poster paper. 2015.

  Details about Robust vision−based indoor localization | BibTeX data for Robust vision−based indoor localization

• [45]

  A new Magneto‐Inductive tracking technique to uncover subterranean activity: what do animals do underground?

  David W Macdonald Michael J Noonan Andrew Markham Chris Newman Niki Trigoni Christina D Buesching Stephen A Ellwood

  In Methods in Ecology and Evolution‚ Vol. 6‚ Issue 5. 2015.

  Details about A new Magneto‐Inductive tracking technique to uncover subterranean activity: what do animals do underground? | BibTeX data for A new Magneto‐Inductive tracking technique to uncover subterranean activity: what do animals do underground?

• [46]

  Opportunistic Radio Assisted Navigation for Autonomous Ground Vehicles

  Hongkai Wen‚ Yiran Shen‚ Savvas Papaioannou‚ Winston Churchill‚ Niki Trigoni and Paul Newman

  In International Conference on Distributed Computing in Sensor Systems (DCOSS). 2015.

  Details about Opportunistic Radio Assisted Navigation for Autonomous Ground Vehicles | BibTeX data for Opportunistic Radio Assisted Navigation for Autonomous Ground Vehicles

• [47]

  Indoor tracking using undirected graphical models

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In IEEE Transactions on Mobile Computing. Vol. 1. No. 1. Pages PP. 2015.

  Details about Indoor tracking using undirected graphical models | BibTeX data for Indoor tracking using undirected graphical models | Download  (pdf) of Indoor tracking using undirected graphical models

• [48]

  Robust Indoor Positioning with Lifelong Learning

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In IEEE Journal on Selected Areas in Communications. Vol. PP. No. 99. Pages PP. 2015.

  Details about Robust Indoor Positioning with Lifelong Learning | BibTeX data for Robust Indoor Positioning with Lifelong Learning | Download  (pdf) of Robust Indoor Positioning with Lifelong Learning

• [49]

  Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc)

  Train Abrudan‚ Zhuoling Xiao‚ Andrew Markham and Niki Trigoni

  In IEEE Journal on Selected Areas in Communications. No. 33(11). Pages 2404−2417. 2015.

  Details about Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc) | BibTeX data for Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc) | Download  (pdf) of Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc)

• [50]

  Non−line−of−sight identification and mitigation using received signal strength

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham‚ Niki Trigoni‚ Phil Blunsom and J. Frolik

  In IEEE Transactions on Wireless Communications. 2015.

  Details about Non−line−of−sight identification and mitigation using received signal strength | BibTeX data for Non−line−of−sight identification and mitigation using received signal strength | Download  (pdf) of Non−line−of−sight identification and mitigation using received signal strength

• [51]

  Accuracy Estimation For Sensor Systems

  Hongkai Wen‚ Zhuoling Xiao‚ Andrew Markham and Niki Trigoni

  In IEEE Transaction on Mobile Computing. 2015.

  Details about Accuracy Estimation For Sensor Systems | BibTeX data for Accuracy Estimation For Sensor Systems | Download  (pdf) of Accuracy Estimation For Sensor Systems

• [52]

  Climate and the Individual: Inter−Annual Variation in the Autumnal Activity of the European Badger

  M. Noonan‚ A. Markham‚ C. Newman‚ N. Trigoni‚ C. Buesching‚ S. Ellwood and D. Macdonald

  In PLOS ONE. 2014.

  Details about Climate and the Individual: Inter−Annual Variation in the Autumnal Activity of the European Badger | BibTeX data for Climate and the Individual: Inter−Annual Variation in the Autumnal Activity of the European Badger | Link to Climate and the Individual: Inter−Annual Variation in the Autumnal Activity of the European Badger

• [53]

  Acoustic Sensor Networks for Decommissioning

  T.A. York‚ P.N. Green‚ P.R. Green‚ A. Phasouliotis‚ Z. Qu‚ S. Watson‚ M. Hussain‚ S. Nawaz‚ N. Trigoni and S. Stanley

  In Measurement and Control Vol 45‚ Issue 2‚ pp. 48 − 54. March, 2012.

  Details about Acoustic Sensor Networks for Decommissioning | BibTeX data for Acoustic Sensor Networks for Decommissioning | Download Acoustic Sensor Networks for decommissioning.pdf of Acoustic Sensor Networks for Decommissioning | Download Acoustic Sensor Networks for Decommissioning.pdf of Acoustic Sensor Networks for Decommissioning | Link to Acoustic Sensor Networks for Decommissioning

• [54]

  Underground Localization in 3−D Using Magneto−Inductive Tracking

  Andrew Markham‚ Niki Trigoni‚ David Macdonald and Stephen Ellwood

  In IEEE Sensors Journal. Vol. 12. Pages 1809−1816. 2012.

  Details about Underground Localization in 3−D Using Magneto−Inductive Tracking | BibTeX data for Underground Localization in 3−D Using Magneto−Inductive Tracking | Link to Underground Localization in 3−D Using Magneto−Inductive Tracking

• [55]

  WILDSENSING: Design and Deployment of a Sustainable Sensor Network for Wildlife Monitoring

  V. Dyo‚ S. Ellwood‚ D. Macdonald‚ A. Markham‚ N. Trigoni‚ R. Wohlers‚ C. Mascolo‚ B. Pasztor‚ S. Scellato and K. Yousef

  In ACM Transactions on Sensor Networks. 2012.

  Details about WILDSENSING: Design and Deployment of a Sustainable Sensor Network for Wildlife Monitoring | BibTeX data for WILDSENSING: Design and Deployment of a Sustainable Sensor Network for Wildlife Monitoring | Download (pdf) of WILDSENSING: Design and Deployment of a Sustainable Sensor Network for Wildlife Monitoring

• [56]

  Mapping legacy storage ponds

  P.N. Green‚ P.R. Green‚ M. Hussain‚ S. Narwaz‚ A. Phasouliotis‚ Z. Qu‚ N. Trigoni‚ S. Watson and T. York

  In Nuclear Future. Vol. 7. No. 5. September, 2011.

  Details about Mapping legacy storage ponds | BibTeX data for Mapping legacy storage ponds

• [57]

  Efficient Data Propagation in Traffic−Monitoring Vehicular Networks

  Antonios Skordylis and Niki Trigoni

  In IEEE Transactions on Intelligent Transportation Systems. Vol. 12. No. 3. September, 2011.

  Details about Efficient Data Propagation in Traffic−Monitoring Vehicular Networks | BibTeX data for Efficient Data Propagation in Traffic−Monitoring Vehicular Networks | Link to Efficient Data Propagation in Traffic−Monitoring Vehicular Networks

• [58]

  Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment

  Ettore Ferranti and Niki Trigoni

  In The Computer Journal. 2010.

  Details about Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment | BibTeX data for Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment | Link to Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment

• [59]

  The automatic evolution of distributed controllers to configure sensor network operation

  Andrew Markham and Niki Trigoni

  In The Computer Journal. March, 2010.

  Details about The automatic evolution of distributed controllers to configure sensor network operation | BibTeX data for The automatic evolution of distributed controllers to configure sensor network operation | DOI (10.1093/comjnl/bxq016) | Link to The automatic evolution of distributed controllers to configure sensor network operation

• [60]

  Rapid Exploration of Unknown Areas Through Dynamic Deployment of Mobile and Stationary Sensor Nodes

  Ettore Ferranti‚ Niki Trigoni and Mark Levene

  In Journal of Autonomous Agents and Multi−Agent Systems. 2009.

  Details about Rapid Exploration of Unknown Areas Through Dynamic Deployment of Mobile and Stationary Sensor Nodes | BibTeX data for Rapid Exploration of Unknown Areas Through Dynamic Deployment of Mobile and Stationary Sensor Nodes | Download  (pdf) of Rapid Exploration of Unknown Areas Through Dynamic Deployment of Mobile and Stationary Sensor Nodes

• [61]

  Wave Scheduling and Routing in Sensor Networks

  Niki Trigoni‚ Yong Yao‚ Alan Demers‚ Johannes Gehrke and Rajmohan Rajaraman

  In ACM Transactions on Sensor Networks. Vol. 3:1. March, 2007.

  Details about Wave Scheduling and Routing in Sensor Networks | BibTeX data for Wave Scheduling and Routing in Sensor Networks | Download  (pdf) of Wave Scheduling and Routing in Sensor Networks

• [62]

  The Cougar Project: A Work−In−Progress Report

  Alan Demers‚ Johannes Gehrke‚ Rajmohan Rajaraman‚ Niki Trigoni and Yong Yao.

  In ACM SIGMOD Record. Vol. 34. No. 4. December, 2003.

  Details about The Cougar Project: A Work−In−Progress Report | BibTeX data for The Cougar Project: A Work−In−Progress Report | Download of The Cougar Project: A Work−In−Progress Report

Conference papers

• [1]

  Title: Cut‚ Distil and Encode (CDE): Split Cloud−Edge Deep Inference

  N. Trigoni M. Sbai M.R.U. Saputra and A. Markham

  In IEEE International Conference on Sensing‚ Communication and Networking (SECON). 2021.

  Details about Title: Cut‚ Distil and Encode (CDE): Split Cloud−Edge Deep Inference | BibTeX data for Title: Cut‚ Distil and Encode (CDE): Split Cloud−Edge Deep Inference

• [2]

  SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform

  N. Trigoni Y. He and A. Markham

  In International Conference on Machine Learning. 2021.

  Details about SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform | BibTeX data for SoundDet: Polyphonic Sound Event Detection and Localization from Raw Waveform

• [3]

  See Through Smoke: Robust Indoor Mapping with Low−cost mmWave Radar

  Chris Xiaoxuan Lu‚ Stefano Rosa‚ Peijun Zhao‚ Bing Wang‚ Changhao Chen‚ John Stankovic‚ Niki Trigoni and Andrew Markham

  In ACM International Conference on Mobile Systems‚ Applications‚ and Services (MobiSys). 2020.

  Details about See Through Smoke: Robust Indoor Mapping with Low−cost mmWave Radar | BibTeX data for See Through Smoke: Robust Indoor Mapping with Low−cost mmWave Radar | Download  (pdf) of See Through Smoke: Robust Indoor Mapping with Low−cost mmWave Radar

• [4]

  Heart Rate Sensing with a Robot Mounted mmWave Radar

  Peijun Zhao‚ Chris Xiaoxuan Lu‚ Bing Wang‚ Changhao Chen‚ Linhai Xie‚ Mengyu Wang‚ Niki Trigoni and Andrew Markham

  In International Conference on Robotics and Automation (ICRA). 2020.

  Details about Heart Rate Sensing with a Robot Mounted mmWave Radar | BibTeX data for Heart Rate Sensing with a Robot Mounted mmWave Radar | Download  (pdf) of Heart Rate Sensing with a Robot Mounted mmWave Radar

• [5]

  SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference

  Linhai Xie‚ Andrew Markham and Niki Trigoni

  In Robotics and Automation (ICRA)‚ 2020 IEEE/RSJ International Conference on. IEEE. 2020.

  accepted

  Details about SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference | BibTeX data for SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference | Download  (pdf) of SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference

• [6]

  Learning with Stochastic Guidance for Robot Navigation

  Linhai Xie‚ Yishu Miao‚ Sen Wang‚ Phil Blunsom‚ Zhihua Wang‚ Changhao Cheng‚ Andrew Markham and Niki Trigoni

  In IEEE Transactions on Neural Networks and Learning Systems (TNNLS). IEEE. 2020.

  accepted

  Details about Learning with Stochastic Guidance for Robot Navigation | BibTeX data for Learning with Stochastic Guidance for Robot Navigation | Download  (pdf) of Learning with Stochastic Guidance for Robot Navigation

• [7]

  AtLoc: Attention Guided Camera Localization

  Bing Wang‚ Changhao Chen‚ Chris Xiaoxuan Lu‚ Peijun Zhao‚ Niki Trigoni and Andrew Markham

  In The Thirty−Fourth AAAI Conference on Artificial Intelligence. 2020.

  Details about AtLoc: Attention Guided Camera Localization | BibTeX data for AtLoc: Attention Guided Camera Localization | Download  (pdf) of AtLoc: Attention Guided Camera Localization

• [8]

  mID: Tracking and Identifying People with Millimeter Wave Radar

  Peijun Zhao‚ Chris Xiaoxuan Lu‚ Jianan Wang‚ Changhao Chen‚ Wei Wang‚ Niki Trigoni and Andrew Markham

  In International Conference on Distributed Computing in Sensor Systems (DCOSS). 2019.

  Details about mID: Tracking and Identifying People with Millimeter Wave Radar | BibTeX data for mID: Tracking and Identifying People with Millimeter Wave Radar | Download  (pdf) of mID: Tracking and Identifying People with Millimeter Wave Radar

• [9]

  Selective Sensor Fusion for Neural Visual Inertial Odometry

  Changhao Chen‚ Stefano Rosa‚ Yishu Miao‚ Chris Xiaoxuan Lu‚ Wei Wu‚ Andrew Markham and Niki Trigoni

  In Conference on Computer Vision and Pattern Recognition (CVPR−19). 2019.

  Details about Selective Sensor Fusion for Neural Visual Inertial Odometry | BibTeX data for Selective Sensor Fusion for Neural Visual Inertial Odometry | Download  (pdf) of Selective Sensor Fusion for Neural Visual Inertial Odometry

• [10]

  Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues

  Chris Xiaoxuan Lu‚ Xuan Kan‚ Bowen Du‚ Changhao Chen‚ Hongkai Wen‚ Andrew Markham‚ Niki Trigoni and John Stankovic

  In The Web Conference (WWW). 2019.

  Details about Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues | BibTeX data for Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues | Download  (pdf) of Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues

• [11]

  MotionTransformer: Transferring Neural Inertial Tracking Between Domains

  Changhao Chen‚ Yishu Miao‚ Chris Xiaoxuan Lu‚ Linhai Xie‚ Phil Blunsom‚ Andrew Markham and Niki Trigoni

  In The Thirty−Third AAAI Conference on Artificial Intelligence (AAAI−19). 2019.

  Details about MotionTransformer: Transferring Neural Inertial Tracking Between Domains | BibTeX data for MotionTransformer: Transferring Neural Inertial Tracking Between Domains | Download  (pdf) of MotionTransformer: Transferring Neural Inertial Tracking Between Domains

• [12]

  Transferring Physical Motion Between Domains for Neural Inertial Tracking

  Changhao Chen‚ Yishu Miao‚ Chris Xiaoxuan Lu‚ Phil Blunsom‚ Andrew Markham and Niki Trigoni

  In NIPS 2018 workshop on Modelling the Physical world: Perception‚ Learning and Control. 2018.

  Details about Transferring Physical Motion Between Domains for Neural Inertial Tracking | BibTeX data for Transferring Physical Motion Between Domains for Neural Inertial Tracking | Download  (pdf) of Transferring Physical Motion Between Domains for Neural Inertial Tracking

• [13]

  Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers

  Chris Xiaoxuan Lu‚ Peijun Zhao‚ Bowen Du‚ Hongkai Wen‚ Andrew Markham‚ Stefano Rosa and Niki Trignoni

  In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (SenSys). 2018.

  Details about Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers | BibTeX data for Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers | Download  (pdf) of Demo Abstract: Automatic Face Recognition Adaptation via Ambient Wireless Identifiers

• [14]

  DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics

  Chris Xiaoxuan Lu‚ Bowen Du‚ Peijun Zhao‚ Hongkai Wen‚ Yiran Shen‚ Andrew Markham and Niki Trignoni

  In International Symposium on Wearable Computers (ISWC). 2018.

  Details about DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics | BibTeX data for DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics | Download  (pdf) of DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics

• [15]

  Simultaneous Localization and Mapping with Power Network Electromagnetic Field

  Chris Xiaoxuan Lu‚ Yang Li‚ Peijun Zhao‚ Changhao Chen‚ Linhai Xie‚ Hongkai Wen‚ Rui Tan and Niki Trigoni

  In Annual International Conference on Mobile Computing and Networking (MobiCom). 2018.

  Details about Simultaneous Localization and Mapping with Power Network Electromagnetic Field | BibTeX data for Simultaneous Localization and Mapping with Power Network Electromagnetic Field | Download slides.key of Simultaneous Localization and Mapping with Power Network Electromagnetic Field | Download [MobiCom2018]emr_slam.pdf of Simultaneous Localization and Mapping with Power Network Electromagnetic Field

• [16]

  3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations

  Zhihua Wang‚ Stefano Rosa‚ Bo Yang‚ Sen Wang‚ Niki Trigoni and Andrew Markham

  In 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence IJCAI−ECAI. 2018.

  Details about 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | BibTeX data for 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | Download  (pdf) of 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations

• [17]

  Defo−Net: Learning body deformation using generative adversarial networks

  N. Trigoni Z. Wang S. Rosa L. Xie B. Yang S. Wang and A. Markham

  In IEEE Intl Conference on Robotics and Automation (ICRA). 2018.

  Details about Defo−Net: Learning body deformation using generative adversarial networks | BibTeX data for Defo−Net: Learning body deformation using generative adversarial networks | Download of Defo−Net: Learning body deformation using generative adversarial networks

• [18]

  IONet: Learning to Cure the Curse of Drift in Inertial Odometry

  Changhao Chen‚ Chris Xiaoxuan Lu‚ Andrew Markham and Niki Trigoni

  In The Thirty−Second AAAI Conference on Artificial Intelligence (AAAI−18). 2018.

  Details about IONet: Learning to Cure the Curse of Drift in Inertial Odometry | BibTeX data for IONet: Learning to Cure the Curse of Drift in Inertial Odometry | Download  (pdf) of IONet: Learning to Cure the Curse of Drift in Inertial Odometry

• [19]

  Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning

  Chris Xiaoxuan Lu‚ Bowen Du‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham‚ Ivan Martinovic‚ Yiran Shen and Niki Trigoni

  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). 2018.

  Details about Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | BibTeX data for Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | Download slides.key of Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning | Download [UbiComp2018]snoopy.pdf of Snoopy: Sniffing Your Smartwatches Passwords via Deep Sequence Learning

• [20]

  VeriNet: User Verification on Smartwatches via Behavior Biometrics

  Chris Xiaoxuan Lu‚ Bowen Du‚ Xuan Kan‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In ACM Sensys Workshop on Mobile Crowdsensing Systems and Applications. 2017.

  Details about VeriNet: User Verification on Smartwatches via Behavior Biometrics | BibTeX data for VeriNet: User Verification on Smartwatches via Behavior Biometrics | Download  (pdf) of VeriNet: User Verification on Smartwatches via Behavior Biometrics

• [21]

  Poster Abstract: Towards Self−supervised Face Labeling via Cross−modality Association

  Chris Xiaoxuan Lu‚ Xuan Kan‚ Stefano Rosa‚ Bowen Du‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems (SenSys). 2017.

  Details about Poster Abstract: Towards Self−supervised Face Labeling via Cross−modality Association | BibTeX data for Poster Abstract: Towards Self−supervised Face Labeling via Cross−modality Association | Download  (pdf) of Poster Abstract: Towards Self−supervised Face Labeling via Cross−modality Association

• [22]

  SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data

  Chris Xiaoxuan Lu‚ Hongkai Wen‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). 2017.

  Details about SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data | BibTeX data for SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data | Download  (pdf) of SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data

• [23]

  VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization

  Ronald Clark‚ Sen Wang‚ Andrew Markham‚ Niki Trigoni and Hongkai Wen

  In Computer Vision and Pattern Recognition (CVPR). 2017.

  Details about VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization | BibTeX data for VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization | Download  (pdf) of VidLoc: A Deep Spatio−Temporal Model for 6−DoF Video−Clip Relocalization

• [24]

  Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

  Linhai Xie‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In RSS 2017 workshop on New Frontiers for Deep Learning in Robotics. 2017.

  Details about Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning | BibTeX data for Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning | Download  (pdf) of Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

• [25]

  GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM

  Linhai Xie‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In Intelligent Robots and Systems (IROS)‚ 2017 IEEE/RSJ International Conference on. IEEE. 2017.

  Details about GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM | BibTeX data for GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM | Download  (pdf) of GraphTinker: Outlier Rejection and Inlier Injection for Pose Graph SLAM

• [26]

  Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization

  Stefano Rosa‚ Chris Xiaoxuan Lu‚ Hongkai Wen and Niki Trigoni

  In ACM/IEEE International Conference on Human−Robot Interaction (HRI). Pages 267−268. 2017.

  Details about Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization | BibTeX data for Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization | Download  (pdf) of Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization

• [27]

  VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem

  R. Clark‚ S. Wang‚ H. Wen‚ A. Markham and N. Trigoni

  In AAAI Conference on Artificial Intelligence (AAAI). 2017.

  Details about VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem | BibTeX data for VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem | Download  (pdf) of VINet: Visual Inertial Odometry as a Sequence to Sequence Learning Problem

• [28]

  Efficient visual positioning with adaptive parameter learning: poster abstract

  H. Wen‚ S. Wang‚ R. Clark‚ S. Papaioannou and N. Trigoni

  In Proceedings of the 15th International Conference on Information Processing in Sensor Networks. 2016.

  Details about Efficient visual positioning with adaptive parameter learning: poster abstract | BibTeX data for Efficient visual positioning with adaptive parameter learning: poster abstract | Download  (pdf) of Efficient visual positioning with adaptive parameter learning: poster abstract

• [29]

  Robust Occupancy Inference with Commodity WiFi

  Chris Xiaoxuan Lu‚ Hongkai Wen‚ Han Zou‚ Hao Jiang‚ Lihua Xie and Niki Trigoni

  In IEEE International Conference on Wireless and Mobile Computing‚ Networking and Communications (WiMob). 2016.

  Details about Robust Occupancy Inference with Commodity WiFi | BibTeX data for Robust Occupancy Inference with Commodity WiFi | Download  (pdf) of Robust Occupancy Inference with Commodity WiFi

• [30]

  Keyframe Based Large−Scale Indoor Localisation Using Geomagnetic Field and Motion Pattern

  Sen Wang‚ Hongkai Wen‚ Ronald Clark and Niki Trigoni

  In IEEE/RSJ International Conference on Intelligent Robots and Systems. 2016.

  Details about Keyframe Based Large−Scale Indoor Localisation Using Geomagnetic Field and Motion Pattern | BibTeX data for Keyframe Based Large−Scale Indoor Localisation Using Geomagnetic Field and Motion Pattern | Download  (pdf) of Keyframe Based Large−Scale Indoor Localisation Using Geomagnetic Field and Motion Pattern

• [31]

  Accurate Positioning via Cross Modality Training

  S. Papaioannou‚ H. Wen‚ Z. Xiao‚ A. Markham and N. Trigoni

  In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Pages 239−251. 2015.

  Details about Accurate Positioning via Cross Modality Training | BibTeX data for Accurate Positioning via Cross Modality Training | Download  (pdf) of Accurate Positioning via Cross Modality Training

• [32]

  Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In The 5th International Conference on Indoor Positioning and Indoor Navigation. Busan‚ Korea. 2014.

  Details about Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement | BibTeX data for Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement | Link to Robust pedestrian dead reckoning (R−PDR) for arbitrary mobile device placement

• [33]

  Demo: IMU−Aided Magneto−Inductive Localization

  T. E. Abrudan‚ Zhuoling Xiao‚ A. Markham and N. Trigoni

  In Microsoft Indoor Localization Competition‚ at the 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2014). Berlin‚ Germany. 2014.

  Details about Demo: IMU−Aided Magneto−Inductive Localization | BibTeX data for Demo: IMU−Aided Magneto−Inductive Localization

• [34]

  Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning

  Savvas Papaioannou‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In the 11th IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS'14). Pages 109−117. 2014.

  Details about Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning | BibTeX data for Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning | Link to Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning

• [35]

  A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD)

  T. E. Abrudan‚ A. Markham and N. Trigoni

  In The 11th European Conference on Wireless Sensor Networks (EWSN 2014). Oxford‚ UK. 2014.

  Details about A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD) | BibTeX data for A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD) | Download  (pdf) of A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD)

• [36]

  Demo: Lightweight continuous indoor tracking system

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In 11th European Conference on Wireless Sensor Networks (EWSN'14). Oxford‚ UK. 2014.

  Details about Demo: Lightweight continuous indoor tracking system | BibTeX data for Demo: Lightweight continuous indoor tracking system | Download  (pdf) of Demo: Lightweight continuous indoor tracking system

• [37]

  Lightweight map matching for indoor localization using conditional random fields (BEST PAPER)

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham and Niki Trigoni

  In The International Conference on Information Processing in Sensor Networks (IPSN'14). Berlin‚ Germany. 2014.

  Details about Lightweight map matching for indoor localization using conditional random fields (BEST PAPER) | BibTeX data for Lightweight map matching for indoor localization using conditional random fields (BEST PAPER) | Link to Lightweight map matching for indoor localization using conditional random fields (BEST PAPER)

• [38]

  Poster: WiFi sensors meet visual tracking for an accurate positioning system

  Savvas Papaioannou‚ Hongkai Wen‚ Zhuoling Xiao‚ Andrew Markham and Niki Trigoni

  In 11th European Conference on Wireless Sensor Networks (EWSN'14). Oxford‚ UK. 2014.

  Details about Poster: WiFi sensors meet visual tracking for an accurate positioning system | BibTeX data for Poster: WiFi sensors meet visual tracking for an accurate positioning system | Download EWSN14_Poster (003).pdf of Poster: WiFi sensors meet visual tracking for an accurate positioning system | Download ewsn14.pdf of Poster: WiFi sensors meet visual tracking for an accurate positioning system

• [39]

  Identification and mitigation of non−line−of−sight conditions using received signal strength

  Zhuoling Xiao‚ Hongkai Wen‚ Andrew Markham‚ Niki Trigoni‚ Phil Blunsom and Jeff Frolik

  In IEEE International Conference on Wireless and Mobile Computing‚ Networking and Communications (WiMob'13). Pages 667−674. Lyon‚ France. 2013.

  Details about Identification and mitigation of non−line−of−sight conditions using received signal strength | BibTeX data for Identification and mitigation of non−line−of−sight conditions using received signal strength | Download  (pdf) of Identification and mitigation of non−line−of−sight conditions using received signal strength

• [40]

  Comparison of Accuracy Estimation Approaches for Sensor Networks

  Hongkai Wen‚ Zhuoling Xiao‚ Andrew Symington‚ Andrew Markham and Niki Trigoni

  In the 9th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS'13). Pages 28−35. 2013.

  Details about Comparison of Accuracy Estimation Approaches for Sensor Networks | BibTeX data for Comparison of Accuracy Estimation Approaches for Sensor Networks | Link to Comparison of Accuracy Estimation Approaches for Sensor Networks

• [41]

  Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments

  Muzammil Hussain and Niki Trigoni

  In IEEE Wireless Communication and Networking Conference (WCNC). 2013.

  Details about Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments | BibTeX data for Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments | Download  (pdf) of Adaptive Node Placement for Improving Localization Accuracy in Clutter−Prone Environments

• [42]

  On Assessing the Accuracy of Positioning Systems in Indoor Environments (BEST PAPER)

  H. Wen‚ Z. Xiao‚ N. Trigoni and P. Blunsom

  In 10th European Conference on Wireless Sensor Networks (EWSN'13). Ghent‚ Belgium. 2013.

  Details about On Assessing the Accuracy of Positioning Systems in Indoor Environments (BEST PAPER) | BibTeX data for On Assessing the Accuracy of Positioning Systems in Indoor Environments (BEST PAPER) | Link to On Assessing the Accuracy of Positioning Systems in Indoor Environments (BEST PAPER)

• [43]

  Magneto−inductive networked rescue system (MINERS): taking sensor networks underground

  Andrew Markham and Niki Trigoni

  In 11th International Conference on Information Processing in Sensor Networks (IPSN). 2012.

  Details about Magneto−inductive networked rescue system (MINERS): taking sensor networks underground | BibTeX data for Magneto−inductive networked rescue system (MINERS): taking sensor networks underground | Download (pdf) of Magneto−inductive networked rescue system (MINERS): taking sensor networks underground

• [44]

  Encounter Based Sensor Tracking

  Andrew Symington and Niki Trigoni

  In The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2012). June, 2012.

  Details about Encounter Based Sensor Tracking | BibTeX data for Encounter Based Sensor Tracking | Download  (pdf) of Encounter Based Sensor Tracking | DOI (10.1145/2248371.2248377)

• [45]

  Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology

  Muzammil Hussain‚ Yusuf Aytar‚ Andrew Markham and Niki Trigoni

  In IEEE/ION Poisition Location and Navigation Symposium (PLANS) 2012. 2012.

  Details about Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology | BibTeX data for Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology | Download  (pdf) of Characterization of Non−Line−of−Sight (NLOS) Bias via Analysis of Clutter Topology

• [46]

  Acoustic Sensor Networks for Decommissioning

  T.A. York‚ P.N. Green‚ P.R. Green‚ M. Hussain‚ S. Nawaz‚ A. Phasouliotis‚ Z. Qu‚ S. Stanley‚ N. Trigoni and S. Watson

  In Control & Instrumentation in Nuclear Installations (CANDI). September, 2011.

  Details about Acoustic Sensor Networks for Decommissioning | BibTeX data for Acoustic Sensor Networks for Decommissioning

• [47]

  Combining Sensor Selection with Routing and Scheduling in Wireless Sensor Networks

  Conor Muldoon‚ Niki Trigoni and Gregory M. P. O' Hare

  In International Workshop on Data Management for Sensor Networks (DMSN)‚ held in conjunction with the International Conference on Very Large Data Bases (VLDB)‚ ACM. 2011.

  Details about Combining Sensor Selection with Routing and Scheduling in Wireless Sensor Networks | BibTeX data for Combining Sensor Selection with Routing and Scheduling in Wireless Sensor Networks | Download (pdf) of Combining Sensor Selection with Routing and Scheduling in Wireless Sensor Networks

• [48]

  Demo abstract : Dynamic node placement for multi−hop localization in cluttered environments

  Muzammil Hussain and Niki Trigoni

  In 8th Annual IEEE Communications Society Conference on Sensor‚ Mesh and Ad Hoc Communications and Networks (SECON). 2011.

  Details about Demo abstract : Dynamic node placement for multi−hop localization in cluttered environments | BibTeX data for Demo abstract : Dynamic node placement for multi−hop localization in cluttered environments | Download  (pdf) of Demo abstract : Dynamic node placement for multi−hop localization in cluttered environments

• [49]

  Convex Programming Based Robust Localization in NLOS Prone Cluttered Environments

  Sarfraz Nawaz and Niki Trigoni

  In 10th International Conference on Information Processing in Sensor Networks (IPSN). April, 2011.

  Details about Convex Programming Based Robust Localization in NLOS Prone Cluttered Environments | BibTeX data for Convex Programming Based Robust Localization in NLOS Prone Cluttered Environments | Link to Convex Programming Based Robust Localization in NLOS Prone Cluttered Environments

• [50]

  Robust Localization in Cluttered Environments with NLOS Propagation

  Sarfraz Nawaz and Niki Trigoni

  In 7th IEEE International Conference on Mobile Ad−hoc and Sensor Systems (IEEE MASS 2010). November, 2010.

  Details about Robust Localization in Cluttered Environments with NLOS Propagation | BibTeX data for Robust Localization in Cluttered Environments with NLOS Propagation | Link to Robust Localization in Cluttered Environments with NLOS Propagation

• [51]

  Effect of rainfall on link quality in an outdoor forest deployment

  Andrew Markham‚ Niki Trigoni and Stephen A. Ellwood

  In Proceedings of the International Conference on Wireless Information Networks and Systems‚ Athens‚ Greece. July, 2010.

  Details about Effect of rainfall on link quality in an outdoor forest deployment | BibTeX data for Effect of rainfall on link quality in an outdoor forest deployment | Download  (pdf) of Effect of rainfall on link quality in an outdoor forest deployment

• [52]

  Demo Abstract: Magneto−inductive tracking of underground animals

  Andrew Markham‚ Niki Trigoni‚ Stephen A. Ellwood and David W. Macdonald

  In 8th ACM Conference on Embedded Networked Sensor Systems (Sensys 2010). Zurich‚ Switzerland. November, 2010.

  Details about Demo Abstract: Magneto−inductive tracking of underground animals | BibTeX data for Demo Abstract: Magneto−inductive tracking of underground animals | Download  (pdf) of Demo Abstract: Magneto−inductive tracking of underground animals

• [53]

  Revealing the hidden lives of underground animals using magneto−inductive tracking

  Andrew Markham‚ Niki Trigoni‚ Stephen A. Ellwood and David W. Macdonald

  In 8th ACM Conference on Embedded Networked Sensor Systems (Sensys 2010). Zurich‚ Switzerland. November, 2010.

  Details about Revealing the hidden lives of underground animals using magneto−inductive tracking | BibTeX data for Revealing the hidden lives of underground animals using magneto−inductive tracking | Download  (pdf) of Revealing the hidden lives of underground animals using magneto−inductive tracking

• [54]

  Evolution and Sustainability of a Wildlife Monitoring Sensor Network

  V. Dyo‚ S. Ellwood‚ D. Macdonald‚ A. Markham‚ C. Mascolo‚ B. Pasztor‚ S. Scellato‚ N. Trigoni‚ R. Wohlers and K. Yousef

  In 8th ACM Conference on Embedded Networked Sensor Systems (SenSys 2010)‚ Zurich‚ Switzerland. 2010.

  Details about Evolution and Sustainability of a Wildlife Monitoring Sensor Network | BibTeX data for Evolution and Sustainability of a Wildlife Monitoring Sensor Network | Download  (pdf) of Evolution and Sustainability of a Wildlife Monitoring Sensor Network

• [55]

  Distributed Localization in Cluttered Underwater Environments

  Muzammil Hussain and Niki Trigoni

  In The Fifth ACM International Workshop on Underwater Networks (WUWNet). 2010.

  Details about Distributed Localization in Cluttered Underwater Environments | BibTeX data for Distributed Localization in Cluttered Underwater Environments | Download (pdf) of Distributed Localization in Cluttered Underwater Environments

• [56]

  Supporting Search and Rescue Operations with UAVs

  Sonia Waharte and Niki Trigoni

  In International Symposiom on Robots and Security. 2010.

  Details about Supporting Search and Rescue Operations with UAVs | BibTeX data for Supporting Search and Rescue Operations with UAVs | Download  (pdf) of Supporting Search and Rescue Operations with UAVs

• [57]

  SUAAVE: Combining Aerial Robots and Wireless Networking

  S. Cameron‚ S. Hailes‚ S. Julier‚ S. McClean‚ G. Parr‚ N. Trigoni‚ M. Ahmed‚ G. McPhillips‚ R. de Nardi‚ J. Nie‚ A. Symington‚ L. Teacy and S. Waharte

  In 25th Bristol International UAV Systems Conference. 2010.

  Details about SUAAVE: Combining Aerial Robots and Wireless Networking | BibTeX data for SUAAVE: Combining Aerial Robots and Wireless Networking | Download  (pdf) of SUAAVE: Combining Aerial Robots and Wireless Networking

• [58]

  Discrete Gene Regulatory Networks (dGRNs): A novel approach to configuring sensor networks

  Andrew Markham and Niki Trigoni

  In Proceedings of the 29th Conference on Computer Communications (InfoCom 2010). March, 2010.

  Details about Discrete Gene Regulatory Networks (dGRNs): A novel approach to configuring sensor networks | BibTeX data for Discrete Gene Regulatory Networks (dGRNs): A novel approach to configuring sensor networks | Download of Discrete Gene Regulatory Networks (dGRNs): A novel approach to configuring sensor networks

• [59]

  Probabilistic Search with Agile UAVs

  Sonia Waharte‚ Andrew Symington and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2010.

  Details about Probabilistic Search with Agile UAVs | BibTeX data for Probabilistic Search with Agile UAVs | DOI (10.1109/ROBOT.2010.5509962)

• [60]

  Probabilistic Target Detection by Camera−Equipped UAVs

  Andrew Symington‚ Sonia Waharte‚ Simon Justin Julier and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2010.

  Details about Probabilistic Target Detection by Camera−Equipped UAVs | BibTeX data for Probabilistic Target Detection by Camera−Equipped UAVs | DOI (10.1109/ROBOT.2010.5509355)

• [61]

  Collaborative sensing by unmanned aerial vehicles

  W. T. L. Teacy‚ J. Nie‚ S. McClean‚ G. Parr‚ S. Hailes‚ S. Julier‚ N. Trigoni and S. Cameron

  In 3rd International Workshop on Agent Technology for Sensor Networks (ATSN−09). 2009.

  Details about Collaborative sensing by unmanned aerial vehicles | BibTeX data for Collaborative sensing by unmanned aerial vehicles | Download  (pdf) of Collaborative sensing by unmanned aerial vehicles

• [62]

  Poster Abstract: Wildlife and Environmental Monitoring using RFID and WSN Technology

  Vladimir Dyo‚ Stephen A. Ellwood‚ David W. Macdonald‚ Andrew Markham‚ Cecilia Mascolo‚ Bence Pasztor‚ Niki Trigoni and Ricklef Wohlers

  In The 7th ACM Conference on Embedded Networked Sensor Systems (SenSys09). Berkeley‚ California‚. 2009.

  Details about Poster Abstract: Wildlife and Environmental Monitoring using RFID and WSN Technology | BibTeX data for Poster Abstract: Wildlife and Environmental Monitoring using RFID and WSN Technology

• [63]

  An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools

  Sarfraz Nawaz‚ Muzammil Hussain‚ Simon Watson‚ Niki Trigoni and Peter N. Green

  In 1st International ICST Conference on Sensor Systems and Software (SCUBE). 2009.

  Details about An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools | BibTeX data for An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools | Download  (pdf) of An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools

• [64]

  Coordinated Search with a Swarm of UAVs

  Sonia Waharte‚ Niki Trigoni and Simon J. Julier

  In Sixth Annual IEEE Communications Society Conference on Sensor‚ Mesh and Ad Hoc Communications and Networks (SECON). 2009.

  Details about Coordinated Search with a Swarm of UAVs | BibTeX data for Coordinated Search with a Swarm of UAVs | Download  (pdf) of Coordinated Search with a Swarm of UAVs

• [65]

  The Impact of Localization Errors on the Performance of the Ants Exploration Algorithm

  Ettore Ferranti and Niki Trigoni

  In Workshop on Agent Technology for Sensor Networks (ATSN)‚ a workshop of the International Joint Conference on Autonomous Agents and Multi−Agent Systems (AAMAS). 2009.

  Details about The Impact of Localization Errors on the Performance of the Ants Exploration Algorithm | BibTeX data for The Impact of Localization Errors on the Performance of the Ants Exploration Algorithm | Download  (pdf) of The Impact of Localization Errors on the Performance of the Ants Exploration Algorithm

• [66]

  TwinRoute: Energy−Efficient Data Collection in Fixed Sensor Networks with Mobile Sinks

  Ricklef Wohlers‚ Niki Trigoni‚ Rui Zhang and Stephen Ellwood

  In Proceedings of the 10th International Conference on Mobile Data Management: Systems‚ Services and Middleware (MDM). May, 2009.

  Details about TwinRoute: Energy−Efficient Data Collection in Fixed Sensor Networks with Mobile Sinks | BibTeX data for TwinRoute: Energy−Efficient Data Collection in Fixed Sensor Networks with Mobile Sinks | Download  (pdf) of TwinRoute: Energy−Efficient Data Collection in Fixed Sensor Networks with Mobile Sinks

• [67]

  Jointly Optimizing Data Acquisition and Delivery in Traffic Monitoring VANETs

  A. Skordylis and N. Trigoni

  In 24th Annual ACM Symposium on Applied Computing (ACM SAC'09). March, 2009.

  Details about Jointly Optimizing Data Acquisition and Delivery in Traffic Monitoring VANETs | BibTeX data for Jointly Optimizing Data Acquisition and Delivery in Traffic Monitoring VANETs | Download  (pdf) of Jointly Optimizing Data Acquisition and Delivery in Traffic Monitoring VANETs

• [68]

  HybridExploration: a Distributed Approach to Terrain Exploration using Mobile and Fixed Sensor Nodes

  E. Ferranti‚ N. Trigoni and M. Levene

  In IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems (IROS). September, 2008.

  Details about HybridExploration: a Distributed Approach to Terrain Exploration using Mobile and Fixed Sensor Nodes | BibTeX data for HybridExploration: a Distributed Approach to Terrain Exploration using Mobile and Fixed Sensor Nodes | Download  (pdf) of HybridExploration: a Distributed Approach to Terrain Exploration using Mobile and Fixed Sensor Nodes

• [69]

  Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios

  Ettore Ferranti and Niki Trigoni

  In ICRA08‚ IEEE International Conference on Robotics and Automation. IEEE. May, 2008.

  Details about Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios | BibTeX data for Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios | Download of Robot−Assisted Discovery of Evacuation Routes in Emergency Scenarios

• [70]

  Fault−Tolerant Compression Algorithms for Delay Sensitive Sensor Networks with Unreliable Links

  Alexandre Guitton‚ Niki Trigoni and Sven Helmer

  In IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS). Pages 190−203. 2008.

  Details about Fault−Tolerant Compression Algorithms for Delay Sensitive Sensor Networks with Unreliable Links | BibTeX data for Fault−Tolerant Compression Algorithms for Delay Sensitive Sensor Networks with Unreliable Links | Download of Fault−Tolerant Compression Algorithms for Delay Sensitive Sensor Networks with Unreliable Links

• [71]

  TIME: An open platform for capturing‚ processing and delivering transport−related data.

  Jean Bacon‚ Alastair Beresford‚ David Evans‚ David Ingram‚ Niki Trigoni‚ Alexandre Guitton and Antonios Skordylis

  In IEEE CCNC‚ Fifth IEEE Consumer Communications Fifth IEEE Consumer Communications & Networking Conference. 2008.

  Details about TIME: An open platform for capturing‚ processing and delivering transport−related data. | BibTeX data for TIME: An open platform for capturing‚ processing and delivering transport−related data. | Download  (pdf) of TIME: An open platform for capturing‚ processing and delivering transport−related data.

• [72]

  Interplay of processing and routing in aggregate query optimization for sensor networks.

  Niki Trigoni‚ Alexandre Guitton and Antonios Skordylis

  In ICDCN 2008‚ 9th International Conference on Distributed Computing and Networking. 2008.

  Details about Interplay of processing and routing in aggregate query optimization for sensor networks. | BibTeX data for Interplay of processing and routing in aggregate query optimization for sensor networks. | Download  (pdf) of Interplay of processing and routing in aggregate query optimization for sensor networks.

• [73]

  Delay−bounded Routing in Vehicular Ad−hoc Networks

  Antonios Skordylis and Niki Trigoni

  In ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc). 2008.

  Details about Delay−bounded Routing in Vehicular Ad−hoc Networks | BibTeX data for Delay−bounded Routing in Vehicular Ad−hoc Networks | Download  (pdf) of Delay−bounded Routing in Vehicular Ad−hoc Networks

• [74]

  Data Management in Mobile Ad−Hoc Ocean Sensor Networks

  Silvia Nittel‚ Niki Trigoni and Neal Pettigrew

  In NSF Workshop on Data Management for Mobile Sensor Networks (MobiSensors). 2007.

  Details about Data Management in Mobile Ad−Hoc Ocean Sensor Networks | BibTeX data for Data Management in Mobile Ad−Hoc Ocean Sensor Networks | Download of Data Management in Mobile Ad−Hoc Ocean Sensor Networks

• [75]

  A Model for Motion Pattern Discovery in Ocean Drifter Networks

  Arda Nural‚ Silvia Nittel‚ Niki Trigoni and Neal Pettigrew

  In Conference on Coastal Environmental Sensing Networks (CESN). 2007.

  Details about A Model for Motion Pattern Discovery in Ocean Drifter Networks | BibTeX data for A Model for Motion Pattern Discovery in Ocean Drifter Networks | Download  (pdf) of A Model for Motion Pattern Discovery in Ocean Drifter Networks

• [76]

  Brick&Mortar: An On−Line Multi−Agent Exploration Algorithm

  Ettore Ferranti‚ Niki Trigoni and Mark Levene

  In ICRA07‚ IEEE International Conference on Robotics and Automation. IEEE. April, 2007.

  Details about Brick&Mortar: An On−Line Multi−Agent Exploration Algorithm | BibTeX data for Brick&Mortar: An On−Line Multi−Agent Exploration Algorithm | Download of Brick&Mortar: An On−Line Multi−Agent Exploration Algorithm

• [77]

  Utilizing Correlations to Compress Time−Series in Traffic Monitoring Sensor Networks.

  Alexandre Guitton‚ Antonios Skordylis and Niki Trigoni

  In WCNC 2007‚ IEEE Wireless Communications IEEE Wireless Communications & Networking Conference. 2007.

  Details about Utilizing Correlations to Compress Time−Series in Traffic Monitoring Sensor Networks. | BibTeX data for Utilizing Correlations to Compress Time−Series in Traffic Monitoring Sensor Networks. | Download of Utilizing Correlations to Compress Time−Series in Traffic Monitoring Sensor Networks.

• [78]

  Poster Abstract: Routing and Processing Multiple Aggregate Queries in Sensor Networks

  Niki Trigoni‚ Alexandre Guitton and Antonios Skordylis

  In ACM SenSys 2006‚ The 4th ACM Conference on Embedded Networked Sensor Systems. 2006.

  Details about Poster Abstract: Routing and Processing Multiple Aggregate Queries in Sensor Networks | BibTeX data for Poster Abstract: Routing and Processing Multiple Aggregate Queries in Sensor Networks | Download  (pdf) of Poster Abstract: Routing and Processing Multiple Aggregate Queries in Sensor Networks

• [79]

  Correlation−Based Data Dissemination in Traffic Monitoring Sensor Networks

  Antonios Skordylis‚ Alexandre Guitton and Niki Trigoni

  In CoNext 2006‚ 2nd Conference on Future Networking Technologies. 2006.

  Details about Correlation−Based Data Dissemination in Traffic Monitoring Sensor Networks | BibTeX data for Correlation−Based Data Dissemination in Traffic Monitoring Sensor Networks | Download  (pdf) of Correlation−Based Data Dissemination in Traffic Monitoring Sensor Networks

• [80]

  A Study of Approximate Data Management Techniques for Sensor Networks

  Antonios Skordylis‚ Niki Trigoni and Alexandre Guitton

  In WISES'06‚ Fourth International Workshop on Intelligent Solutions in Embedded Systems. 2006.

  Details about A Study of Approximate Data Management Techniques for Sensor Networks | BibTeX data for A Study of Approximate Data Management Techniques for Sensor Networks | Download  (pdf) of A Study of Approximate Data Management Techniques for Sensor Networks

• [81]

  Multi−Query Optimization for Sensor Networks

  Niki Trigoni‚ Yong Yao‚ Alan Demers‚ Johannes Gehrke and Rajmohan Rajaraman

  In IEEE/ACM International Conference on Distributed Computing in Sensor Systems (DCOSS). 2005.

  Details about Multi−Query Optimization for Sensor Networks | BibTeX data for Multi−Query Optimization for Sensor Networks | Download of Multi−Query Optimization for Sensor Networks

• [82]

  WaveScheduling: Energy−Efficient Data Dissemination for Sensor Networks

  Niki Trigoni‚ Yong Yao‚ Alan Demers‚ Johannes Gehrke and Rajmohan Rajaraman

  In ACM Workshop on Data Management for Sensor Networks (DMSN)‚ in conjuction with VLDB. 2004.

  Details about WaveScheduling: Energy−Efficient Data Dissemination for Sensor Networks | BibTeX data for WaveScheduling: Energy−Efficient Data Dissemination for Sensor Networks | Download of WaveScheduling: Energy−Efficient Data Dissemination for Sensor Networks

• [83]

  Hybrid Push−Pull Query Processing for Sensor Networks

  Niki Trigoni‚ Yong Yao‚ Alan Demers‚ Johannes Gehrke and Rajmohan Rajaraman

  In GI Workshop on Sensor Networks (WSN). 2004.

  Details about Hybrid Push−Pull Query Processing for Sensor Networks | BibTeX data for Hybrid Push−Pull Query Processing for Sensor Networks | Download of Hybrid Push−Pull Query Processing for Sensor Networks

• [84]

  Energy−Efficient Data Management for Sensor Networks: A Work−In−Progress Report

  Alan Demers‚ Johannes Gehrke‚ Rajmohan Rajaraman‚ Niki Trigoni and Yong Yao

  In 2nd IEEE Upstate New York Workshop on Sensor Networks. 2003.

  Details about Energy−Efficient Data Management for Sensor Networks: A Work−In−Progress Report | BibTeX data for Energy−Efficient Data Management for Sensor Networks: A Work−In−Progress Report | Download of Energy−Efficient Data Management for Sensor Networks: A Work−In−Progress Report

• [85]

  Interactive Query Formulation in Semistructured Databases

  Niki Trigoni

  In International Conference on Flexible Query Answering Systems (FQAS). 2002.

  Details about Interactive Query Formulation in Semistructured Databases | BibTeX data for Interactive Query Formulation in Semistructured Databases

• [86]

  Inferring the Principal Type and the Schema Requirements of an OQL Query

  Niki Trigoni and Gavin Bierman

  In 18th British National Conference on Databases (BNCOD). 2001.

  Details about Inferring the Principal Type and the Schema Requirements of an OQL Query | BibTeX data for Inferring the Principal Type and the Schema Requirements of an OQL Query

• [87]

  Using Association Rules to Add or Eliminate Query Constraints Automatically

  Niki Trigoni and Ken Moody

  In International Conference on Scientific and Statistical Database Management (SSDBM). 2001.

  Details about Using Association Rules to Add or Eliminate Query Constraints Automatically | BibTeX data for Using Association Rules to Add or Eliminate Query Constraints Automatically

• [88]

  Details about | BibTeX data for

Technical reports

• [1]

  Robust Localization in Cluttered Environments with NLOS Propagation

  Sarfraz Nawaz and Niki Trigoni

  No. RR−09−16. OUCL. December, 2009.

  Details about Robust Localization in Cluttered Environments with NLOS Propagation | BibTeX data for Robust Localization in Cluttered Environments with NLOS Propagation

• [2]

  Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment

  Ettore Ferranti and Niki Trigoni

  No. RR−09−02. OUCL. 2009.

  Details about Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment | BibTeX data for Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment | Download  (pdf) of Practical Issues in Deploying Mobile Agents to Explore a Sensor−Instrumented Environment

• [3]

  Towards a Formal Type System for ODMG OQL

  Gavin Bierman and Niki Trigoni

  No. TR 497. University of Cambridge‚ Computer Laboratory. October, 2000.

  Details about Towards a Formal Type System for ODMG OQL | BibTeX data for Towards a Formal Type System for ODMG OQL

Theses

• [1]

  Semantic optimization of OQL queries

  Niki Trigoni

  PhD Thesis 2001.

  Details about Semantic optimization of OQL queries | BibTeX data for Semantic optimization of OQL queries