Short Biography

Zhou Lipu is a Professor at the School of Instrumentation and Optoelectronic Engineering, Beihang University. I received my Bachelor’s degree from the School of Software at Tianjin University, Master’s degree from the School of Software and Microelectronics at Peking University, and Ph.D. from the Department of Computer Science at Tsinghua University. I conducted postdoctoral research at the Robotics Institute of Carnegie Mellon University under the supervision of Professor Michael Kaess, a renowned expert in the field of robotics. Prior to joining Beihang University, I worked in core R&D roles at Microsoft, Qualcomm, Magic Leap, and Meituan. I has published more than 30 academic papers in leading international conferences and journals in robotics and computer vision. My research interests include 3D vision, autonomous navigation, multi-sensor fusion and machine learning.

Research Area

1. 3D Vision

2. Autonomous Navigation

3. Multi-sensor fusion

4. Machine Learning

Courses

1. 3D World Perception and Reconstruction

2. Selected Topics in Applied Mathematics

Papers & Books

1. L. Zhou, Z. Wei and X. Wang, "A Novel Iterative Solution to the Perspective-n-Point Problem via Cost Function Approximation," in IEEE Transactions on Robotics, vol. 41, pp. 3908-3928, 2025

2. L. Zhou, "Bundle Adjustment With Backtracking Line Search on Manifold," in IEEE Robotics and Automation Letters, vol. 10, no. 10, pp. 10998-11005, Oct. 2025

3. L. Zhou, J. Liu, F. Zhai, et al. “Efficient bundle adjustment for coplanar points and lines,” Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2023: 8356-8363.

4. L. Zhou, “Efficient second-order plane adjustment,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 13113-13121.

5. L. Zhou, G. Huang, Y. Mao, et al. “PLC-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders”, IEEE Robotics Autom. Lett., 2022, 7(3): 7163-7170.