Tong Qin

Tong QIN

秦通

About

Tong QIN is a tenure-track associate professor at the Global Institute of Future Technology, Shanghai Jiao Tong University.

He received his Ph.D. degree in Hong Kong University of Science and Technology 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. After graduation, Tong QIN was chosen as TopMinds (天才少年) by Huawei. During 2019-2023, he led a research team in Intelligent Vehicle BU and developed advanced autonomous driving solutions, ADS1.0 and ADS2.0, which were widely used on commercial vehicles, such as Avatar Changan (长安阿维塔), M5/M7 Wenjie(问界). Finally, Tong QIN returned back to the academia, worked with Prof. Ming Yang at Intelligent Vehile Labs, SJTU.

His research interests include SLAM and autonomous driving.

Contact : qintong at sjtu.edu.cn, qintonguav at gmail.com;

Welcome any internship! If you want to apply for post-graduate degree, please contact me in advance!

欢迎各种实习！如果想申请硕士、博士研究生，请提前进组实习，有科研产出的实习生将会优先录取！

[Scholar] [Github]

Last update: 2024/04/23

Conference papers (selected):

[pdf] [video]

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

News

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

[pdf] [video] [code]

[pdf] [video]

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):

[pdf]

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)

[pdf] [video]

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)

[pdf] [video]

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)

[pdf] [video]

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)

[pdf] [video]

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

2023 - now

Tenure-track associate professor

CyberC3 Intelligent Vehicle Labs, Global Institute of Fture Technology, Shanghai Jiao Tong University

2019.4 - 2019.8

Facebook Reality Labs, Seattle

Research Intern

AR/VR research

Experience

2019.9 - 2023.9

Huawei Technology, Shanghai

Top minds（天才少年）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]