自动驾驶，自主导航，多传感器融合的导航定位

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自2023年起，本人每年度大致招收1-2名硕士生

081201-计算机系统结构
081203-计算机应用技术

无人系统自主导航
多传感器融合定位
路径规划与控制

2014-09--2019-07   清华大学   工学博士
2010-09--2014-07   清华大学   工学学士

​2021年9月-今，中科院计算所，副研究员

2019年7月2021年9月，中科院计算所，助理研究员

近五年主要期刊文章: 

[1] Liangshu Qian, Wei Li*, Yu Hu*, LVGS-SLAM: LiDAR-Visual-Supervised Gaussian Splatting SLAM with Dense Depth Rendering for Unstructured Environments, IEEE Robotics and Automation Letters, 2026.

[2] Liangshu Qian, Wei Li*, Yu Hu*, Neural LiDAR Odometry With Feature Association and Reuse for Unstructured Environments, Journal of Field Robotics, 2025.

[3] Andong Yang; Wei Li*; Yu Hu*, Speed Planning Based on Terrain-Aware Constraint Reinforcement Learning in Rugged Environments, IEEE  Robotics and Automation Letters, 2024.

[4] Yifan Gao; Wei Li*; Yu Hu*, Trajectory Planning for Autonomous Driving Featuring Time-Varying Road Curvature and Adhesion Constraints[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.

近五年主要会议文章：

[1] Fuqiang Jiang, Wei Li*, Tianyao Zhao, Yu Hu, SGC-Lane: Monocular 3D Lane Detection with Standard-Definition Map Guidance and Lane Completion, European Conference on Computer Vision (ECCV), 2026. 

[2] Haoming Xu, Wei Li*, Yu Hu, PriorMaskMap: Robust Online Vectorized Map Construction with Biased Priors, European Conference on Computer Vision (ECCV), 2026. 

[3] Qingyuan Hu, Wei Li*, Xuebin Meng, Yu Hu*, Monocular Visual Odometry via Diffusion-Based Joint Learning of Optical Flow and Depth, 2026 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2026. 

[4] Haoyu Xi, Wei Li*, Yu Hu*, Multimodal Fusion-Guided Diffusion Policy for Motion Planning in Rugged and Obstacle-Dense Environments, 2026 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2026. 

[5] Xuebin Meng, Wei Li*, Yu Hu, Yinhe Han, CA2Point: Learning Keypoint Detection and Description with Context Aggregation and Cross Augmentation, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2025. 

[6] Aochun Xu, Andong Yang, Wei Li*, Yu Hu*, Vibration-Aware Trajectory Optimization for Mobile Robots in Wild Environments via Physics-Informed Neural Network, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2025.

[7] Guodong Han, Wei Li*, Yu Hu*, Adaptive Sliding Window Optimization for Multi-Modal LiDAR Inertial Odometry and Mapping, 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2025.

[8] Haoming Xu, Yiyang Xiao, Wei Li*, Yu Hu, Generating Synthetic Deviation Maps for Prior-Enhanced Vectorized HD Map Construction, 2025 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2025.

[9 ]Andong Yang; Wei Li*; Yu Hu*, F3DMP: Foresighted 3D Motion Planning of Mobile Robots in Wild Environments, 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024.

[10] Andong Yang; Wei Li*; Yu Hu*, SCOML: Trajectory Planning Based on Self-Correcting Meta-Reinforcement Learning in Hybrid Terrain for Mobile Robot, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024.

[11] Haoyu Xi; Wei Li*; Fangzhou Zhao; Liang Chen; Yu Hu*, A Safe and Efficient Timed-Elastic-Band Planner for Unstructured Environments, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024.

[12] Wensong Chen, Wei Li*, Andong Yang, Yu Hu*, Active Visual SLAM Based on Hierarchical Reinforcement Learning, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023:7155-7162.

[13] Cheng Ye , Wei Li*, Yu Hu*,  A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based on Adaptive Lag Smoother. The 2023 IEEE Intelligent Vehicles Symposium (IV 2023). 2023

[14] Andong Yang, Wei Li*, Yu Hu*, SMS-MPC: Adversarial Learning-based Simultaneous Prediction Control with Single Model for Mobile Robots, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. 

[15] Jingyu Niu, Yu Hu*, Wei Li, Guangyan Huang, Yinhe Han, Xiaowei Li, Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing, in IEEE International Joint Conference on Neural Networks (IJCNN), oral (Candidate of Best Paper Award), 2022.

[16] Wei Li, Yu Hu, Yinhe Han, Xiaowei Li, KFS-LIO: Key-Feature Selection for Lightweight Lidar Inertial Odometry, 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 5042-5048. 

主要科研项目：

[1] 国家自然科学基金项目（青年基金）：“面向深空探测巡视器的多传感器融合导航定位方法研究”，项目负责人；

[2] 北京市自然科学基金项目（重点研究专题项目）：“车端在线感知与离线地图的融合增强技术研究”，课题负责人；

[3] 国家重点实验室项目：“非结构化场景中多模态融合的定位建图方法研究”，项目负责人； 

[4] ——：“火星表面智能感知规划验证系统”，项目负责人；

[5] 国家重点研发计划：科技创新2030-“新一代人工智能”重大项目“无约束环境下基于多传感器信息融合的协同感知”，子课题“资源受限无人系统的轻量化计算”，项目骨干； 

[6] 揭榜挂帅项目：“西部高原无人运输车环境感知、导航定位与路径规划关键技术研究”，项目骨干；

[7] ——：“行星巡视器自主导航与自动驾驶关键技术”，项目骨干； 

现指导学生

肖熠阳  硕士研究生  085404-计算机技术  

姜福强  硕士研究生  081200-计算机科学与技术  

赵天垚  硕士研究生  085400-电子信息  

徐浩铭  硕士研究生  085410-人工智能  

李尚鑫  硕士研究生  085410-人工智能  

李学坤  硕士研究生  085410-人工智能