Papers
1
Total Citations
3
H-Index
1
About
Dr. Kuanghua Su is a rising researcher in the field of autonomous navigation and environmental perception, with a primary focus on Simultaneous Localization and Mapping (SLAM) technology. His work critically addresses the performance and integration of visual and LiDAR-based SLAM systems, which are foundational for mobile robotics and autonomous vehicle path planning and control. His most-cited paper, "Visual and LiDAR SLAM Performance in Campus Scenes" (2024), provides a comparative analysis of these sensor modalities, offering practical insights for system design in real-world, dynamic environments. While his citation count is currently emerging, this work signals a significant contribution to benchmarking SLAM performance. Dr. Su’s research is particularly relevant for students and engineers seeking to understand the trade-offs between camera and LiDAR sensors, making his findings valuable for advancing robust, real-time environmental mapping. As the demand for reliable autonomous systems grows, his work stands as a practical guide for optimizing perception pipelines in complex scenes.
Research Focus
Key Achievements
Top Papers
- 1Visual and LiDAR SLAM Performance in Campus Scenes3 citations · 2024