教育经历

(1) 2001-09 至 2005-07, 天津大学, 学士

(2) 2006-09 至 2009-07, 北京大学, 硕士

(3) 2009-09 至 2015-01, 清华大学, 博士

工作经历

2023-08 至 至今 北京航天航空大学，教授

本科课程：《数字图像处理》、《感知与重构三维世界》

研究生课程：《视觉SLAM理论与实践》《应用数学方法选讲》、《机器视觉技术及应用》

即时定位与建图（SLAM）、多传感器融合、计算机视觉、机器学习等

获奖情况

[1] ICRA 2022 Outstanding Navigation Paper Award

发明专利

[1] Lipu Zhou; Frank Thomas Steinbruecker; Ashwin Swaminathan; Hui Jun; Daniel Esteban Koppel; Konstantinos Zampogiannis; Pooja Piyush Mehta; Vinayram Balakumar; Computationally Efficient Method for Computing a Composite Representation of a 3D Environment, 2024-09-24, 美国, US12100181B2

[2] Lipu Zhou; Ashwin Swaminathan; Frank Thomas Steinbruecker; Daniel Esteban Koppel; Efficient Localization Based on Multiple Feature Types, 2023-09-05, 美国, US11748905B2

代表性论文

[1] Hao L, Zhou L, Wei Z, et al. GS-SMC: A Camera Pose Refinement Framework for Monocular Visual Localization via 3-D Gaussian Splatting[J/OL]. IEEE Transactions on Instrumentation and Measurement, 2026, 75: 1-13. DOI:10.1109/TIM.2026.3657540.

[2] Zhou L, Wei Z, Wang X. A Novel Iterative Solution to the Perspective-n-Point Problem via Cost Function Approximation[J/OL]. IEEE Transactions on Robotics, 2025, 41: 3908-3928. DOI:10.1109/TRO.2025.3577061.

[3] Zhou L. Bundle Adjustment With Backtracking Line Search on Manifold[J/OL]. IEEE Robotics and Automation Letters, 2025, 10(10): 10998-11005. DOI:10.1109/LRA.2025.3606801.

[4] Zhou L. Efficient Second-Order Plane Adjustment[C/OL]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023: 13113-13121. DOI:10.1109/CVPR52729.2023.01260.

[5] Zhou L, Liu J, Zhai F, et al. Efficient Bundle Adjustment for Coplanar Points and Lines[C/OL]//2023 IEEE International Conference on Robotics and Automation (ICRA). 2023: 8356-8363. DOI:10.1109/ICRA48891.2023.10160834.

[6] Zhou L, Huang G, Mao Y, et al. EDPLVO: Efficient Direct Point-Line Visual Odometry[C/OL]//2022 International Conference on Robotics and Automation (ICRA). 2022: 7559-7565. DOI:10.1109/ICRA46639.2022.9812133.

[7] Zhou L, Huang G, Mao Y, et al. PLC-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders[J/OL]. IEEE Robotics and Automation Letters, 2022, 7(3): 7163-7170. DOI:10.1109/LRA.2022.3180116.

[8] Zhou L, Wang S, Kaess M. DPLVO: Direct Point-Line Monocular Visual Odometry[J/OL]. IEEE Robotics and Automation Letters, 2021, 6(4): 7113-7120. DOI:10.1109/LRA.2021.3097052.

[9] Zhou L, Koppel D, Kaess M. LiDAR SLAM With Plane Adjustment for Indoor Environment[J/OL]. IEEE Robotics and Automation Letters, 2021, 6(4): 7073-7080. DOI:10.1109/LRA.2021.3092274.

[10] Zhou L, Wang S, Kaess M. π-LSAM: LiDAR Smoothing and Mapping With Planes[C/OL]//2021 IEEE International Conference on Robotics and Automation (ICRA). 2021: 5751-5757. DOI:10.1109/ICRA48506.2021.9561933.

[11] Zhou L, Koppel D, Kaess M. A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem[J/OL]. IEEE Robotics and Automation Letters, 2021, 6(2): 699-706. DOI:10.1109/LRA.2020.3047797.

[12] Zhou L, Kaess M. Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss[J/OL]. IEEE Robotics and Automation Letters, 2020, 5(2): 3283-3290. DOI:10.1109/LRA.2020.2976301.

[13] Zhou L, Wang S, Kaess M. A Fast and Accurate Solution for Pose Estimation from 3D Correspondences[C/OL]//2020 IEEE International Conference on Robotics and Automation (ICRA). 2020: 1308-1314. DOI:10.1109/ICRA40945.2020.9197023.

[14] Zhou L, Yang Y, Abello M, et al. A robust and efficient algorithm for the PnL problem using algebraic distance to approximate the reprojection distance[C]//Proceedings of the AAAI Conference on Artificial Intelligence: Vol. 33. 2019: 9307-9315.

[15] Zhou L, Li Z, Kaess M. Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences[C/OL]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2018: 5562-5569. DOI:10.1109/IROS.2018.8593660.

[16] Zhou L, Ye J, Kaess M. A stable algebraic camera pose estimation for minimal configurations of 2D/3D point and line correspondences[C]//Asian Conference on Computer Vision. Springer, 2018: 273-288.