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.
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
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
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.