I’m a Ph.D. student at the Department of Computer Science, University of Oxford, under the supervision of Prof. Niki Trigoni and Prof. Andrew Markham. My research interests focus on robotics, machine learning, and cyber physical systems.
Driven by solving real-world problems, I'm working on machine (deep) learning to process time-series sensor data for localization, navigation, mapping and perception, in support of robots, mobile devices, self-driving vehicles and Internet of Things (IoT).
I also have interests on deep probabilistic models, domain adaptaion, state space models, and feature selection.
I worked on state estimation from a variety of sensor modalities, e.g. inertial, visual, magnetic, lidar point-clouds and MMWave radar data.
More details please refer to my personal webpage.
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.
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.
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.