个人简介 李涛，男，汉族，1996年6月生，浙江杭州人，2023年11月参加工作，上海交通大学电子信息与电气工程学院信息与通信工程专业毕业，研究生学历，工学博士学位。现任浙江工业大学信息工程学院特聘副研究员，硕士生导师。主要研究方向为多源融合定位，博士期间研究课题为“融合精密单点定位的多传感器同步定位与建图方法研究”。共发表论文20余篇，并长期担任IEEE-RAL, ICRA, IROS和IEEE Sensors Journal审稿人。本科毕业论文获2018年武汉大学优秀本科生论文，2018年武汉大学测绘学院优秀本科生论文（排名第一）。教育经历：2014-2018 武汉大学测绘学院导航工程专业 学士2018-2023 上海交通大学电子信息与电气工程学院感知与导航研究所信息与通信工程专业 博士欢迎对包括卫星导航、惯性导航、激光SLAM和视觉SLAM及其融合定位感兴趣的学生联系我，一起为以北斗卫星导航系统为核心的国家综合PNT体系建设工作出力。 教学与课程 2023学年春季学期 助课 面向对象C++编程A 课程号：G103179 育人成果 协助指导硕士研究生10名，其中一人发表一作JCR一区Satellite Navigation论文及ICRA论文各一篇，一人发表一作中科院二区论文IEEE-RAL。 科研项目 科研成果 [1] Tao Li, Ling Pei†, Yan Xiang, Qi Wu, Songpengcheng Xia, Lihao Tao, and Wenxian Yu. P3-LOAM: PPP/LiDAR Loosely Coupled SLAM With Accurate Covariance Estimation and Robust RAIM in UrbanCanyon Environment[J]. IEEE Sensors Journal, 2020, 21(5): 6660-6671.（SCI 检索，DOI:10.1109/JSEN.2020.3042968）[2] Tao Li, Ling Pei†, Yan Xiang, Xingxing Zuo, Wenxian Yu, and TrieuKien Truong. P3-LINS: Tightly Coupled PPP-GNSS/INS/LiDAR Navigation System With Effective Initialization[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-13.（SCI 检索， DOI: 10.1109/TIM.2023.3244811）[3] Tao Li, Ling Pei†, Yan Xiang, Wenxian Yu, and Trieu-Kien Truong. P3-VINS: Tightly-Coupled PPP/INS/Visual SLAM Based on Optimization Approach[J]. IEEE Robotics and Automation Letters, 2022, 7(3): 7021-7027.（SCI 检索， DOI: 10.1109/LRA.2022.3180441）[4] 裴凌 ∗, 李涛∗, 花彤, 郁文贤 †. 多源融合定位算法综述 [J]. 南京信息工程大学学报 (自然科学版),2022,14(06):635-648.（中文核心， DOI:10.13878/j.cnki.jnuist.2022.06.001）[5] 文刚, 周仿荣, 李涛†, 马御棠, 裴凌, 刘亚东, 钱国超, 潘浩.LINS-GNSS:滤波与优化耦合的 GNSS/INS/LiDAR 巡检机器人定位方法 [J]. 南京信息工程大学学报 (自然科学版),2023,15(01):85-93.（中文核心， DOI:10.13878/j.cnki.jnuist.2023.01.009）[6] Tong Hua, Tao Li, and Ling Pei†. PIEKF-VIWO: Visual-Inertial-Wheel Odometry using Partial Invariant Extended Kalman Filter. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 2083-2090, doi: 10.1109/ICRA48891.2023.10160380.[7] Tong Hua, Ling Pei†, Tao Li, Jie Yin, Guoqing Liu, and Wenxian Yu. M2CGVIO: motion manifold constraint aided GNSS-visual-inertial odometry for ground vehicles[J]. Satellite Navigation, 2023, 4(1): 1-15.（DOI:10.1186/s43020-023-00102-9）[8] Jie Yin, Ang Li, Tao Li, Wenxian Yu, and Danping Zou†. M2DGR: A MultiSensor and Multi-Scenario SLAM Dataset for Ground Robots[J]. IEEE Robotics and Automation Letters.2021.7(2): 2266-2273.（SCI 检索， DOI: 10.1109/LRA.2021.3138527）[9] Jingquan Li, Ling Pei, Danping Zou, Songpengcheng Xia, Qi Wu, and Tao Li. Attention-SLAM: A Visual Monocular SLAM Learning From Human Gaze[J]. IEEE Sensors Journal, 2021(5): 6408-6420.（SCI 检索， DOI: 10.1109/JSEN.2020.3038432）[10] Ling Pei, Kun Liu, Danping Zou, Tao Li, Qi Wu, Yifan Zhu, You Li, Zhe He, Yuwei Chen, and Daniele Sartori. IVPR: An Instant Visual Place Recognition Approach Based on Structural Lines in Manhattan World[J]. IEEE Transactions on Instrumentation and Measurement, 2021.69(7): 4173-4187.（SCI 检索， DOI: 10.1109/TIM.2019.2941359）[11] Chunxu Chen, Ling Pei, Changqing Xu, Danping Zou, Yuhui Qi, Yifan Zhu, and Tao Li. Trajectory Optimization of LiDAR SLAM Based on Local Pose Graph[C]//China Satellite Navigation Conference (CSNC) 2019 Proceedings: Volume I. Springer Singapore, 2019: 360-370.（会议论文， DOI: 10.1007/978-981-13-7751-8_36）[12] Lihao Tao, Ling Pei, Tao Li, Danping Zou, Qi Wu, and Songpengcheng Xia.CPI: LiDAR-Camera Extrinsic Calibration Based on Feature Points with Reflection Intensity[C]//Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8–9, 2020, Proceedings 1.Springer International Publishing, 2021: 281-290.（会议论文， DOI: 10.1007/978-3-030-69873-7_21）[13] Lihao Tao, Ling Pei, Tao Li, Danping Zou, Gabriele Ermacora, Qi Wu, and Songpengcheng Xia. Using Line Feature Based on Reflection Intensity for Camera-LiDAR Extrinsic Calibration[C]//Advances in Guidance, Navigation and Control: Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020, Tianjin, China, October 23–25, 2020. Springer Singapore, 2022: 3939-3949.（会议论文， DOI: 10.1007/978-981-15-8155-7_329）[14] Tong Hua, Ling Pei, Tao Li, Qi Wu, Ruochen Wang, and Wenxian Yu. I2-SLAM: Fusing Infrared Camera and IMU for Simultaneous Localization and Mapping[C]//International Conference on Autonomous Unmanned Systems. Singapore: Springer Singapore, 2021: 2834-2844.（会议论文， DOI: 10.1007/978-981-16-9492-9_278）[15] Junyuan Deng, Ling Pei, Qi Wu, Tao Li, Xin Chen, and Wenxian Yu. An Adaptive Feature Optimization Strategy for Direct Visual Odometry[C]//International Conference on Autonomous Unmanned Systems. Singapore: Springer Singapore, 2021: 2919-2930.（会议论文， DOI: 10.1007/978-981-16-9492-9_278）[16] Ruochen Wang, Ling Pei, Lei Chu, Qi Wu, Tao Li, Wenxian Yu, and Xujun Guan. DVT-SLAM: Deep-Learning Based Visible and Thermal Fusion SLAM[C]//China Satellite Navigation Conference (CSNC 2021) Proceedings: Volume II. Springer Singapore, 2021: 394-403.（会议论文， DOI: 10.1007/978-981-16-3142-9_37）[17] Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, and Tao Li. A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors[C]//Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8–9, 2020, Proceedings 1. Springer International Publishing, 2021: 261-270.（会议论文， DOI: 10.1007/978-3-030-69873-7_19）[18] Yifan Zhu, Ling Pei, Danping Zou, Wenxian Yu, Tao Li, Qi Wu, and Songpengcheng Xia. A Geometric Consistency Model of Virtual Camera for Vision-Based SLAM Simulation[C]//Spatial Data and Intelligence: First International Conference, SpatialDI 2020, Virtual Event, May 8–9, 2020, Proceedings 1. Springer International Publishing, 2021: 271-280.（会议论文， DOI: 10.1007/978-3-030-69873-7_20）[19] Yexuan Li, Ling Pei, Danping Zou, Yifan Zhu, Xiao Liang, and Tao Li. Image Aided Point-wise Autonomous Annotation for LiDAR Data. In 2019 3rd International Conference on Computer Science and Artificial Intelligence[C]//Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence. 2019: 327-332.（会议论文， DOI: 10.1145/3374587.3374648） 社会服务
