Guobing Wang
Papers
1
Total Citations
3
H-Index
1
About
Guobing Wang is a researcher in mobile robotics and autonomous vehicle perception, with a primary focus on Simultaneous Localization and Mapping (SLAM) technology. His work centers on evaluating and improving SLAM systems that rely on visual and LiDAR sensors, which are essential for enabling robots and self-driving cars to understand and navigate their surroundings. Wang’s most cited study, "Visual and LiDAR SLAM Performance in Campus Scenes" (2024), provides a comparative analysis of different SLAM approaches in real-world, complex environments, offering critical insights into sensor fusion and system robustness. This work contributes to the broader goal of enhancing path planning and control in autonomous systems. Though early in his citation impact, with 3 citations on this key paper, Wang’s research addresses a foundational challenge in robotics: reliable environmental perception. His findings help guide the selection and integration of sensors for SLAM, making his work valuable for both academic researchers and industry practitioners developing autonomous navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1Visual and LiDAR SLAM Performance in Campus Scenes3 citations · 2024