Tong Qin

秦 通


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;

[Scholar]    [Github]

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


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


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


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


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]