Published in IEEE Robotics and Automation Letters (RA-L), 2023-07-03
This paper proposes a traffic flow-optimized crowdsourced mapping framework for high-precision environmental modeling in complex urban scenarios.
Tong Qin, Haihui Huang, Ziqiang Wang, Tongqing Chen, Wenchao Ding. (2023). "Traffic Flow-Based Crowdsourced Mapping in Complex Urban Scenario." IEEE Robotics and Automation Letters (RA-L).
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Published in 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023-05-29
This paper develops an IPM-based neural occupancy grid map to address perspective distortion in visual parking mapping tasks.
Xiangru Mu, Haoyang Ye, Daojun Zhu, Tongqing Chen, Tong Qin. (2023). "Inverse Perspective Mapping-Based Neural Occupancy Grid Map for Visual Parking." 2023 IEEE International Conference on Robotics and Automation (ICRA).
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Published in 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021-05-30
This paper proposes a compact semantic map representation to enable real-time visual localization for low-cost autonomous driving platforms.
Tong Qin, Yuxin Zheng, Tongqing Chen, Yilun Chen, Qing Su. (2021). "A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving." 2021 IEEE International Conference on Robotics and Automation (ICRA).
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Published in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020-10-24
This paper introduces AVP-SLAM, a semantic visual mapping and localization system designed for autonomous parking scenarios.
Tong Qin, Tongqing Chen, Yilun Chen, Qing Su. (2020). "AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot." 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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