赵君峤博士现为williamhill威廉希尔官网副教授。于2011年获得武汉大学摄影测量与遥感专业博士学位。期间曾得到中德合作项目“三维城市信息解译”资助先后前往德国慕尼黑工业大学和汉诺威大学进行学术访问。2012年至2014年前往荷兰代尔夫特理工大学从事博士后研究。主要研究兴趣为智能无人系统、SLAM、强化学习等。为WilliamHill中文官方网站“TiEV途灵”智能无人系统研究团队负责人，研发“TiEV途灵”与“TiEV途灵plus”无人车，参与多届基金委举办的“中国智能车未来挑战赛”。目前主持完成国家自然科学基金面上项目一项，国家自然科学基金青年项目一项，参与多个国家重点研发计划项目。近五年在高水平会议和期刊中发表论文近50余篇。

欢迎有学术梦想，对无人系统、神经网络SLAM以及强化学习具有兴趣的同学与我联系！

个人网站 cs1.tongji.edu.cn/~junqiao

发表代表性论文如下：

1) Jiang, Ziheng, Chang Huang, Hongtu Zhou, Linlin Zhou, Chen Ye*, and Junqiao Zhao*. “Batch Informed Vines (BIV*): Heuristically Guided Exploration of Narrow Passages by Batch Vine Expansion.” IEEE Robotics and Automation Letters, 2024.

2) Li, Lanqing, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao*, and Pheng-Ann Heng. “Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning.” In NIPS ’24: Proceedings of the 38th International Conference on Neural Information Processing Systems. Vancouver, CA, 2024.

3) Zhang, Di, Bowen Lv, Hai Zhang, Feifan Yang, Hongtu Zhou, Chang Huang, Hang Yu, Chen Ye, Junqiao Zhao*, and Changjun Jiang. “Focus On What Matters: Separated Models For Visual-Based RL Generalization.” In NIPS ’24: Proceedings of the 38th International Conference on Neural Information Processing Systems. Vancouver, CA, 2024.

4) Tian, Gengxuan, Junqiao Zhao*, Yingfeng Cai, Fenglin Zhang, Xufei Wang, Chen Ye, Sisi Zlatanova, and Tiantian Feng. “VNI-Net: Vector Neurons-Based Rotation-Invariant Descriptor for LiDAR Place Recognition.” ISPRS Journal of Photogrammetry and Remote Sensing 218 (December 1, 2024): 506–17.

5) Huang, Kai, Junqiao Zhao*, Jiaye Lin, Zhongyang Zhu, Shuangfu Song, Chen Ye, and Tiantian Feng. “LOG-LIO2: A LiDAR-Inertial Odometry With Efficient Uncertainty Analysis.” IEEE Robotics and Automation Letters 9, no. 10 (October 2024): 8226–33.

6) Zhu, Zhongyang, Junqiao Zhao*, Kai Huang, Xuebo Tian, Jiaye Lin, and Chen Ye. “LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.” IEEE Robotics and Automation Letters 9, no. 7 (July 2024): 6600–6607.

7) Song, Shuangfu, Junqiao Zhao*, Kai Huang, Jiaye Lin, Chen Ye, and Tiantian Feng. “N³-Mapping: Normal Guided Neural Non-Projective Signed Distance Fields for Large-Scale 3D Mapping.” IEEE Robotics and Automation Letters 9, no. 6 (June 2024): 5935–42.

8) Tian, Xuebo, Zhongyang Zhu, Junqiao Zhao*, Gengxuan Tian, and Chen Ye. “DL-SLOT: Tightly-Coupled Dynamic LiDAR SLAM and 3D Object Tracking Based on Collaborative Graph Optimization.” IEEE Transactions on Intelligent Vehicles 9, no. 1 (2024): 1017–27.

9) Zhang, Xiao, Hai Zhang, Hongtu Zhou, Chang Huang, Di Zhang, Chen Ye, and Junqiao Zhao*. “Safe Reinforcement Learning With Dead-Ends Avoidance and Recovery.” IEEE Robotics and Automation Letters 9, no. 1 (January 2024): 491–98.

10) Huang, Kai, Junqiao Zhao*, Zhongyang Zhu, Chen Ye, and Tiantian Feng. “LOG-LIO: A LiDAR-Inertial Odometry With Efficient Local Geometric Information Estimation.” IEEE Robotics and Automation Letters 9, no. 1 (January 2024): 459–66.

11) Zhao, Junqiao, Fenglin Zhang, Yingfeng Cai, Gengxuan Tian, Wenjie Mu, Chen Ye, and Tiantian Feng. “Learning Sequence Descriptor Based on Spatio-Temporal Attention for Visual Place Recognition.” IEEE Robotics and Automation Letters 9, no. 3 (March 2024): 2351–58.

12) Zhang, Hai, Hang Yu, Junqiao Zhao*, Di Zhang, Chang Huang, Hongtu Zhou, Xiao Zhang, and Chen Ye. “How to Fine-Tune the Model: Unified Model Shift and Model Bias Policy Optimization.” In NIPS ’23: Proceedings of the 37th International Conference on Neural Information Processing Systems, 2587:59252–72, 2023.

13) Huang, Chang, Junqiao Zhao*, Hongtu Zhou, Hai Zhang, Xiao Zhang, and Chen Ye. “Multi-Agent Decision-Making at Unsignalized Intersections with Reinforcement Learning from Demonstrations.” In IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV2023). Anchorage, Alaska, USA: IEEE, 2023.

14) Chen, Zhihong, Junqiao Zhao*, Tiantian Feng, Chen Ye, and Lu Xiong. “Robust Loop Closure Selection Based on Inter-Robot and Intra-Robot Consistency for Multi-Robot Map Fusion.” Remote Sensing 15, no. 11 (January 2023): 2796.

15) Xiao, Hongru, Yanqun Han, Junqiao Zhao*, Jiafeng Cui, Lu Xiong, and Zhuoping Yu. “LIO-Vehicle: A Tightly-Coupled Vehicle Dynamics Extension of LiDAR Inertial Odometry.” IEEE Robotics and Automation Letters 7, no. 1 (January 2022): 446–53.

16) Xiong, Lu, Rong Kang, Junqiao Zhao*, Peizhi Zhang, Mingyu Xu, Ran Ju, Chen Ye, and Tiantian Feng. “G-VIDO: A Vehicle Dynamics and Intermittent GNSS-Aided Visual-Inertial State Estimator for Autonomous Driving.” IEEE Transactions on Intelligent Transportation Systems 23, no. 8 (August 2022): 11845–61.

17) Song, Shuangfu, Junqiao Zhao*, Tiantian Feng, Chen Ye, and Lu Xiong. “Scale Estimation with Dual Quadrics for Monocular Object SLAM.” In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1374–81, 2022.

18) Zhao, Junqiao, Qiaoyu Xu, Sisi Zlatanova, Liu Liu, Chen Ye, and Tiantian Feng. “Weighted Octree-Based 3D Indoor Pathfinding for Multiple Locomotion Types.” International Journal of Applied Earth Observation and Geoinformation 112 (August 1, 2022): 102900.

19) Cai, Yingfeng, Junqiao Zhao*, Jiafeng Cui, Fenglin Zhang, Tiantian Feng, and Chen Ye. “Patch-NetVLAD+: Learned Patch Descriptor and Weighted Matching Strategy for Place Recognition.” In 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 1–8, 2022.

20) Cui, Jiafeng, Yingfeng Cai, Tengfei Huang, Junqiao Zhao*, Lu Xiong, and Zhuoping Yu. “DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition.” In 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 1–7, 2022.