Yu-Hsiang Lo
Papers
1
Total Citations
3
H-Index
1
About
Yu-Hsiang Lo is a researcher at the forefront of autonomous vehicle perception, specializing in multi-sensor fusion and point cloud processing for complex urban environments. His most cited work, "A Multi-Lidar-based Point Cloud Acquisition Platform and Data Fusion for Autonomous Vehicle in Complex Urban Environment" (2023), addresses a critical challenge in autonomous driving: generating dense, accurate 3D point clouds for precise positioning and obstacle avoidance in metropolitan settings. By developing a novel multi-LiDAR acquisition platform and data fusion framework, Lo’s research enables autonomous vehicles to navigate more safely through cluttered, dynamic cityscapes—a key bottleneck for real-world deployment. While his citation count is still growing, his work is already recognized for its practical engineering contributions to sensor integration and environmental perception. Lo’s research sits at the intersection of robotics, computer vision, and intelligent transportation systems, offering foundational solutions for next-generation autonomous platforms. His contributions are particularly valuable for students and engineers seeking to understand how multi-modal sensing can overcome the limitations of single-LiDAR systems in challenging, real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1