Papers
7
Total Citations
74
H-Index
5
About
Bohuan Xue is a robotics researcher whose work centers on autonomous navigation, environmental perception, and sensor-based localization — areas critical to the advancement of mobile robotics and autonomous driving systems. His most influential contributions address the persistent challenge of robust localization across changing environments, exemplified by his 2019 paper on real-time 3D LiDAR localization (23 citations) and his 2022 system for visual localization in large-scale, appearance-varying settings (20 citations). These works demonstrate his ability to bridge theoretical rigor with practical, deployable solutions for robots operating in dynamic real-world conditions. Beyond localization, Xue has made notable contributions to 3D global navigation planning using point cloud tomography, road curb detection for autonomous driving safety, and equipment-free IMU calibration — the latter addressing a practical need for low-cost robotics deployments. His 2024 work on visual-marker-based localization and depth-to-normal translation further illustrates his expanding interests in semantic perception and geometric understanding. With over 74 cumulative citations spanning sensor fusion, computer vision, and autonomous systems, Xue's research reflects a coherent and growing body of work that meaningfully advances the reliability and efficiency of intelligent robotic systems in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Real-Time, Environmentally-Robust 3D LiDAR Localization23 citations · 2019
- 2
- 3
- 4Visual-Marker-Based Localization for Flat-Variation Scene8 citations · 2024
- 5Robust Equipment-Free Calibration of Low-Cost Inertial Measurement Units7 citations · 2023
- 6Road Curb Detection Using A Novel Tensor Voting Algorithm5 citations · 2019
- 7