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Bio

I am an Assistant Professor at the College of Intelligence Science and Technology, National University of Defense Technology (NUDT), China. Before that, I was a postdoctoral researcher (2020) at Department of Computer Science, University of Oxford. I received Ph.D. in Computer Science (2016-2020) from University of Oxford, supevised by Prof. Niki Trigoni and Prof. Andrew Markham, Master in Engineering (2014-2016) from National University of Defense Technology, and Bachelor in Engineering (2010-2014) from the Tongji University, China.

My research interests focus on Robotics and Embodied AI, particularly the challenges of Open-World Navigation. Traditional robotic algorithms often depend on meticulously crafted geometric and dynamic models, which may struggle to adapt to ever-changing, complex environments. My research demonstrates that developing learning solutions over these static models enables autonomous systems to achieve independent motion estimation, robust spatial scene perception, and reliable, safe navigation. My work involves a combination of novel algorithms and methods (including learning and statistics, signal processing, optimization, geometry, and dynamics modelling) and system implementations (including sensor fusion, hardware-software codesign, computing architecture). My research outcomes have been successfully applied to a diverse range of platforms, from robots, drones, self-driving vehicles to smartphone, smartwatches, and VR/AR devices, supporting their real-world applications in intelligent transportation, emergency rescue and hospital efficiency enhancement.

My major contributions have been in the following research directions:

  • Egocentric Motion Tracking: we pioneer deep learning-based inertial positioning models that provide precise motion estimation and positioning in GPS-denied environments, regardless of environmental influences, including IONet, LIO-Net, and MotionTransformer.
  • Robust Spatial Perception: our research develops novel learning and geometric methods for lifelong self-supervised learning based SLAM (e.g., DK-SLAM, SelfOdom, P2Net, DevNet), city-scale localization and rendering (e.g., AtLoc, DroneNeRF, MatLoc-NeRF), and visually-degraded perception (e.g., Milli-Map, Milli-Ego, DeepTIO, and mID).
  • Safe Autonomous Navigation: our research develops task-driven multimodal fusion, stability-constrained dynamical modelling, and efficient policy learning, for safe robot navigation in the physical world, including SelectFusion, DynaNet and SGuidance.
  • Embodied AI: our recent research focuses on efficient foundation model for robot navigation policy learning, and LLM based global planning.
  • News

    Mar 2024
    Our paper "Deep Learning for Inertial Positioning: A Survey" was accepted to IEEE TITS.
    Jan 2024
    Our paper "EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization" was accepted to ICRA-2024.
    Jan 2024
    Our paper "Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey" was accepted to Image and Vision Computing.
    Dec 2023
    Our paper "SelfOdom: Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery" was accepted to IEEE TIV.
    Sep 2023
    Our paper "ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization" was accepted to IEEE Sensors Journal.
    Aug 2023
    Our paper "Deep Learning for Visual Localization and Mapping: A Survey" was accepted to IEEE TNNLS.
    Jan 2023
    Selected into China's Young Elite Scientist Sponsorship Program.

    Preprints

    DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing
    arXiv:2401.09160
    Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen*
    Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization
    arXiv:2401.09160
    Huaiji Zhou, Bing Wang, Changhao Chen*

    Publications

    2024

    Deep Learning for Inertial Positioning: A Survey
    IEEE Transactions on Intelligent Transportation Systems (impact factor = 8.5)
    Changhao Chen, Xianfei Pan
    EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization
    ICRA-2024, 2024 IEEE International Conference on Robotics and Automation
    Zhendong Xiao, Changhao Chen, Shan Yang, Wu Wei
    Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey
    Image and Vision Computing (impact factor = 4.7)
    Zhihao Jia, Bing Wang, Changhao Chen*

    2023

    SelfOdom: Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery
    IEEE Transactions on Intelligent Vehicles (impact factor = 8.2)
    Hao Qu, Lilian Zhang, Xiaoping Hu, Xiaofeng He, Xianfei Pan, Changhao Chen*
    ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization
    IEEE Sensors Journal (impact factor = 4.3)
    Zongyang Chen, Xianfei Pan, Changhao Chen*
    Deep Learning for Visual Localization and Mapping: A Survey
    IEEE Transactions on Neural Networks and Learning Systems (impact factor = 10.4)
    Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

    2022

    Learning Selective Sensor Fusion for State Estimation
    IEEE Transactions on Neural Networks and Learning Systems (impact factor = 10.4)
    Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
    DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
    ECCV-2022, 2022 European Conference on Computer Vision
    Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
    EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
    IEEE Sensors Journal (impact factor = 4.3)
    Zheming Tu*, Changhao Chen*, Xianfei Pan, Ruochen Liu, Jiarui Cui, Jun Mao

    *Co-first Authors

    PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
    IEEE Sensors Journal (impact factor = 4.3)
    Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni
    Multimodal Learning of Audio-visual Speech Recognition with Liquid State Machine
    ICONIP-2022, International Conference on Neural Information Processing
    Xuhu Yu, Lei Wang, Changhao Chen, Junbo Tie, Shasha Guo
    Dense 3D Semantic Mapping using Lightweight Solid-State LiDAR
    ICGNC-2022, 2022 International Conference on Guidance, Navigation and Control
    Fangyan Li, Changhao Chen*, Xiaofeng He, Chaoqun Chu, Wenzhou Zhou
    [PDF]

    FENG Ru Best Paper Award Nominee

    *Corresponding Author

    MaskVO: Self-Supervised Visual Odometry with a Learnable Dynamic Mask
    SII-2022, 2022 IEEE/SICE International Symposium on System Integration
    Weihao Xuan, Ruijie Ren, Siyuan Wu, Changhao Chen

    2021

    DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
    IEEE Transactions on Neural Networks and Learning Systems (impact factor = 10.4)
    Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham
    P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
    ICCV-2021, 2021 International Conference on Computer Vision
    Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham
    VMLoc: Variational Fusion for Learning-Based Multimodal Camera Localization
    AAAI-2021, The 35th AAAI Conference on Artificial Intelligence
    Rui Zhou, Changhao Chen*, Bing Wang, Muhamad Saputra, Andrew Markham, Niki Trigoni
    Contrastive Learning of Zero-velocity Detection for Pedestrian Inertial Navigation
    IEEE Sensors Journal (impact factor = 4.3)
    Ze Chen, Xianfei Pan, Changhao Chen, Meiping Wu
    Human tracking and identification through a millimeter wave radar
    Ad Hoc Networks (impact factor = 4.8)
    Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham

    2020

    Deep Neural Network Based Inertial Odometry Using Low-cost Inertial Measurement Units
    IEEE Transactions on Mobile Computing (impact factor = 7.9)
    Changhao Chen, Chris Xiaoxuan Lu, Johan Wahlstrom, Andrew Markham, Niki Trigoni
    Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
    IEEE Internet of Things Journal (impact factor = 10.6)
    Changhao Chen*, Peijun Zhao*, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni
    [PDF]

    * Co-first Authors

    AtLoc: Attention Guided Camera Localization
    AAAI-2020, The 34th AAAI Conference on Artificial Intelligence
    Bing Wang, Changhao Chen*, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham
    [PDF] [Bibtex] [Code]

    *corresponding author

    DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
    IEEE Robotics and Automation Letters (impact factor = 5.2)
    ICRA-2020, International Conference on Robotics and Automation
    Muhamad Saputra, Pedro Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlstrom, Wei Wang, Andrew Markham, Niki Trigoni
    milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion
    SenSys-2020, The 18th ACM Conference on Embedded Networked Sensor Systems
    Chris Xiaoxuan Lu, Muhamad Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham
    milliMap: Robust Indoor Mapping with Low-cost mmWave Radar
    MobiSys-2020, The 18th ACM International Conference on Mobile Systems, Applications, and Services
    Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, Niki Trigoni, Andrew Markham
    Heart Rate Sensing with a Robot Mounted mmWave Radar
    ICRA-2020, International Conference on Robotics and Automation
    Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Mengyu Wang, Andrew Markham, Niki Trigoni
    Learning with Stochastic Guidance for Robot Navigation
    IEEE Transactions on Neural Networks and Learning Systems (impact factor = 10.4)
    Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

    2019

    Selective Sensor Fusion for Neural Visual-Inertial Odometry
    CVPR-2019, Conference on Computer Vision and Pattern Recognition
    Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni
    MotionTransformer: Transferring Neural Inertial Tracking Between Domains
    AAAI-2019, The 33rd AAAI Conference on Artificial Intelligence
    Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni
    DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network
    IROS-2019, IEEE/RSJ International Conference on Intelligent Robots and Systems
    Wei Wang, Muhamad Saputra, Peijun Zhao, Pedro Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
    mID: Tracking and Identifying People with Millimeter Wave Radar
    DCOSS-2019, International Conference on Distributed Computing in Sensor Systems
    Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Andrew Markham, Niki Trigoni
    [PDF] [Bibtex]

    Best Paper Nominee

    Autonomous Learning of Speaker Identity and WiFi Geofence from Noisy Sensor Data
    IEEE Internet of Things Journal (impact factor = 10.6)
    Chris Xiaoxuan Lu, Yuanbo Xiangli, Peijun Zhao, Changhao Chen, Niki Trigoni, Andrew Markham
    Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
    WWW-2019, The Web Conference
    Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic

    2018

    IONet: Learning to Cure the Curse of Drift in Inertial Odometry
    AAAI-2018, The 32nd AAAI Conference on Artificial Intelligence
    Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni
    Simultaneous Localization and Mapping with Power Network Electromagnetic Field
    MobiCom-2018, Annual International Conference on Mobile Computing and Networking
    Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Changhao Chen, Linhai Xie, Hongkai Wen, Rui Tan, Niki Trigoni

    Thesis

    Learning Methods for Robust Localization
    Changhao Chen
    Advised by Prof. Niki Trigoni and Prof. Andrew Markham
    University of Oxford
    Feb 2020

    Research Projects

    Teaching

    Awards

    Patents

    • Changhao Chen, Ronald Clark, Andrew Markham, Niki Trigoni. Determining a location of a mobile device. WO (granted)/EP (granted)/US (granted) Patent
    • Changhao Chen, Lilian Zhang, Xianfei Pan, Xiaofeng He, Hao Qu, Zheming Tu, Jun Mao, Chen Fan, Xiaoping Hu. Scale self-recovery visual inertial integrated navigation method and device. CN114993306A. CN Patent (granted)
    • Changhao Chen, Xianfei Pan, Xiaofeng He, Fangyan Li, Chaoqun Chu, Jun Mao, Chen Fan, Lilian Zhang, Xiaoping Hu. Fire scene smoke scene positioning and mapping method and device based on millimeter wave radar inertia combination. CN114994672A. CN Patent (granted)
    • Changhao Chen, Fangyan Li, Xiongfei Wang, Xiaofeng He, Chaoqun Chu, Xianfei Pan, Jun Mao, Lilian Zhang, Chen Fan, Xiaoping Hu. Self-supervision learning solid-state laser radar three-dimensional semantic mapping method and device. CN115421158A. CN Patent (granted)
    • Changhao Chen, Zheming Tu, Xianfei Pan, Xiaoping Hu, Xiaofeng He, Lilian Zhang, Jun Mao, Chen Fan. Pedestrian vision and inertia combined navigation method and device based on flexible attention mechanism. CN114894184A. CN Patent (in application)
    • Xianfei Pan, Zongyang Chen, Changhao Chen, Chaoqun Chu, Zheming Tu, Lilian Zhang, Xiaoping Hu, Wenqi Wu. Pedestrian positioning method based on smart phone PDR and vision correction. CN115235455A. CN Patent (granted)
    • Xianfei Pan, Zheming Tu, Changhao Chen, Lilian Zhang, Chaoqun Chu, Zongyang Chen, Jun Mao, Maosong Wang. Pedestrian motion constraint visual inertial fusion positioning and mapping method and device. CN115235454B. CN Patent (granted)
    • Xiaofeng He, Ke Liu, Jun Mao, Hao Qu, Xiaoping Hu, Lilian Zhang, Changhao Chen, Chen Fan. Unmanned aerial vehicle autonomous navigation method and system based on multi-source vision assistance. CN115127554A. CN Patent (granted)
    • Xianfei Pan, Chaoqun Chu, Changhao Chen, Zheming Tu, Zongyang Chen, Xiaofeng He, Jun Mao, Xiaoping Hu. Pedestrian navigation positioning method and device based on laser radar and inertia combination. CN115164887A. CN Patent (in application)
    • Chen Fan, Wenzhou Zhou, Xiaofeng He, Lilian Zhang, Jing Huang, Yin Fan, Zhenhao Guo, Yang Liu, Changhao Chen, Xuesong Wu, Xiaoping Hu. Bionic navigation visual sensor extinction ratio evaluation method based on sine fitting. CN115060292A. CN Patent (granted)
    • Lei Wang, Xuhu Yu, Changhao Chen, Shasha Guo, Xun Xiao, Xiaofan Chen, Yuchen Qiu, Jianfeng Zhang, Wei Shi. Pulse neural network multi-mode lip reading method and system based on attention mechanism. CN115482582A. CN Patent (in application)
    • Chen Fan, Yin Fan, Xiaofeng He, Wenzhou Zhou, Lilian Zhang, Xiaoping Hu, Jing Huang, Zhenhao Guo, Changhao Chen, Yang Liu. Navigation method based on generalized bionic polarized light navigation model and solution. CN115062770A. CN Patent (granted)

    Services

    Professional Services

    • Session Chair
      • International Conference on Robotics and Automation (ICRA)
    • Meta Reviewer
      • The Pioneers Workshop of Robotics: Science and Systems (RSS Pioneers)
    • Program Commitee
      • Conference on Neural Information Processing Systems (NeurIPS)
      • International Conference on Machine Learning (ICML)
      • The International Conference on Learning Representations (ICLR)
      • The AAAI Conference on Artificial Intelligence (AAAI)
    • Conference Reviewer
      • International Conference on Intelligent Robots and Systems (IROS)
      • Conference on Computer Vision and Pattern Recognition (CVPR)
      • International Conference on Computer Vision (ICCV)
      • European Conference on Computer Vision (ECCV)
      • The Web Conference (WWW)
      • British Machine Vision Conference (BMVC)
    • Review Editor
      • Frontiers in Robotics and Artificial Intelligence
    • Journal Reviewer
      • IEEE Transactions on Automatic Control (TAC)
      • IEEE Transactions on Mobile Computing (TMC)
      • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
      • IEEE Transactions on Instrumentation and Measurement (TIM)
      • IEEE Robotics and Automation Letters (RA-L)
      • IEEE Internet of Things Journal (IoT-J)
      • IEEE Sensors Journal
      • Neural Computing
      • IEEE Communications Letters
      • ISPRS Journal of Photogrammetry and Remote Sensing
      • Measurement and Control
      • Neural Networks
      • Pattern Recognition
      • IEEE Transactions on Intelligent Transportation Systems (TITS)
      • IEEE Transactions on Intelligent Vehicle (TIV)
      • IEEE Transactions on Mechatronics
      • Robotics and Autonomous Systems
      • Computer Vision and Image Understanding
      • Satellite Navigation
      • International Journal on Robotics Research (IJRR)
      • International Journal of Computer Vision (IJCV)

    Other Services