Emercency Responders: Publications

Journal papers

• [1]

  Milli−RIO: Ego−Motion Estimation with Low−Cost Millimetre−Wave Radar

  Y. Almalioglu‚ M. Turan‚ C. X. Lu‚ N. Trigoni and A. Markham

  In IEEE Sensors Journal. Pages 1−1. 2020.

  Details about Milli−RIO: Ego−Motion Estimation with Low−Cost Millimetre−Wave Radar | BibTeX data for Milli−RIO: Ego−Motion Estimation with Low−Cost Millimetre−Wave Radar | DOI (10.1109/JSEN.2020.3023243)

• [2]

  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

• [3]

  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

• [4]

  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

• [5]

  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

• [6]

  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

• [7]

  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

• [8]

  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

Conference papers

• [1]

  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

• [2]

  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

• [3]

  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