About Me

I am Qin Tong ( 秦通 ), a senior Ph.D. student in Aerial Robotics Group Robotics Institute, with the Hong Kong University of Science and Technology (HKUST), Hong Kong. My supervisor is Shaojie SHEN . I received my B.Eng. degree in control science and engineering from Zhejiang University, Hangzhou, China, supervised by Chao XU .

Currently, I am a research intern in Facebook Reality Labs (Occulus Research), mentored by Anastasios Mourikis.

My research topics include SLAM, visual-inertial odometry(VIO), sensor fusion in autonomous robots and Augmented Reality.



Journal Papers:

  • VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator, Tong Qin, Peiliang Li, Shaojie Shen, IEEE Transactions on Robotics (TROpdf video
  • Autonomous Aerial Navigation Using Monocular Visual-Inertial Fusion, Yi Lin, Fei Gao, Tong Qin, Wenliang Gao, Tianbo Liu, William Wu, Zhenfei Yang, Shaojie Shen, Journal of Field Robotics (JFR) pdf video

Conference Papers:

  • Online Temporal Calibration for Monocular Visual-Inertial Systems, Tong Qin, Shaojie Shen, International Conference on Intelligent Robots  (IROS 2018 Best student paperpdf
  • Estimating Metric Poses of Dynamic Objects Using Monocular Visual-Inertial Fusion. Kejie Qiu, Tong QIN, Hongwen Xie, Shaojie Shen,  International Conference on Intelligent Robots  (IROS 2018pdf
  • Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving, Peiliang Li, Tong Qin, Shaojie Shen, European Conference on Computer Vision (ECCV 2018pdf video
  • Relocalization, Global Optimization, and Map Merging for Monocular Visual-Inertial SLAM, Tong Qin, Shaojie Shen, International Conference on Robotics and Automation (ICRA 2018pdf video
  • Robust Initialization of Monocular Visual-Inertial Estimation on Aerial Robots, Tong Qin, Shaojie Shen, International Conference on Intelligent Robots  (IROS 2017pdf video
  • Monocular Visual-Inertial State Estimation for Mobile Augmented Reality, Peiliang Li, Tong Qin, Botao Hu, Fengyuan Zhu, Shaojie Shen, International Symposium on Mixed and Augmented Reality (ISMAR 2017)  pdf video