Yi-Tian Hong
Papers
1
Total Citations
3
H-Index
1
About
Yi-Tian Hong is a researcher specializing in robotics perception and 3D reconstruction, with a particular focus on simultaneous localization and mapping (SLAM) technologies. His work bridges the critical gap between visual and LiDAR-based approaches for outdoor environments. In his most-cited paper, "A Comparison of Outdoor 3D Reconstruction between Visual SLAM and LiDAR SLAM" (2023, 3 citations), Hong provides a systematic evaluation of ORB-SLAM3 with RGB-D cameras against SC-LeGO-LOAM with 3D LiDAR sensors, analyzing their respective strengths in visual perception and computational efficiency. This comparative study offers valuable guidance for practitioners selecting appropriate SLAM systems for autonomous navigation and mapping tasks. Hong's research contributes to advancing robust perception systems for field robotics, addressing the practical challenges of accurate 3D reconstruction in unstructured outdoor settings. His work is particularly relevant for applications in autonomous vehicles, surveying, and environmental monitoring, where reliable spatial understanding is essential.
Research Focus
Key Achievements
Top Papers
- 1