Tong Qin
秦 通
About
Tong Qin is a research engineer at Huawei. He received the Ph.D. degree in Hong Kong University of Science and Techonology in 2019, under the supervision of Prof. Shaojie Shen at Robotics Institute. Before that, he received the B.Eng. degree from Zhejiang University in 2015, under the supervision of Prof. Chao Xu. He was an research intern in Facebook Reality Labs during Spring and Summer, 2019, worked with Prof. Anastasios Mourikis.
His research interests include visual SLAM, sensor fusion, state estimaiton, AR/VR and autonomous driving.
We have opening positions for visual SLAM researchers at Huawei. If you are interested please contact me via email.
Contact : qintonguav at gmail.com;
Conference papers (selected):
T Qin, P Li, S Shen
IEEE Transactions on Robotics
(TRO 2018 Best Paper Honorable Mention)
International Conference on Inteligent
Robots and Systems (IROS 2018)
Best Student Paper
Awards
IEEE Transactions on Robotics
Honorable Mention Best Paper Award
Autonomous aerial navigation using monocular visual‐inertial fusion
Y Lin, F Gao, T Qin, W Gao, T Liu, W Wu, Z Yang, S Shen
Journal of Field Robotics
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
Tracking 3-D Motion of Dynamic Objects Using Monocular Visual-Inertial Sensing
K Qiu, T Qin, W Gao, S Shen
IEEE Transactions on Robotics
Publications
Journal articles (selected):
Online temporal calibration for monocular visual-inertial systems
T Qin, S Shen
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
(IROS 2018 Best Student Paper)
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving
P Li, T Qin, S Shen
the European Conference on Computer Vision (ECCV)
Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM
T Qin, P Li, S Shen
2018 IEEE International Conference on Robotics and Automation (ICRA)
Robust initialization of monocular visual-inertial estimation on aerial robots
T Qin, S Shen
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Monocular visual-inertial state estimation for mobile augmented reality
P Li, T Qin, B Hu, F Zhu, S Shen
2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
2011 - 2015
Zhejiang University
B.Eng. in Automation
Education
2015 - 2019
Hong Kong University of Science
and Techonology
Ph.D. in Electronic and Computer Engineering
2019.4 - 2019.8
Facebook Reality Labs, Seattle
Research Intern
AR/VR research
Experience
2019.9 - now
Huawei Technology, Shanghai
Research Engineer
Autonomous Driving
Open Project
VINS: a real-time SLAM framework for Visual-Inertial Systems. It achieves high-accuracy state estimation by fusing cameras and IMU. It can provide accurate localization for autonomous drones and AR applications.
Open-source code: [VINS-Mono] [VINS-Fusion] [VINS-Mobile]