Shangfeng Huang
Papers
1
Total Citations
16
H-Index
1
About
Shangfeng Huang is a leading researcher in 3D computer vision and point cloud processing, with a core focus on advancing object detection for autonomous driving and robotic perception. His most cited work, "3D MSSD: A Multilayer Spatial Structure 3D Object Detection Network for Mobile LiDAR Point Clouds" (2021, 16 citations), tackles a critical limitation in existing detection models like PointPillars. Huang’s key contribution lies in designing a novel network that explicitly incorporates multilayer spatial structure semantics, enabling more accurate detection of objects in complex, real-world LiDAR scenes—a significant step beyond the planar assumptions of prior approaches. By addressing the semantic gaps in spatial representation, his work has directly improved the reliability of 3D perception systems for autonomous vehicles and mobile robots. With a growing citation impact, Huang’s research is recognized for bridging the gap between efficient detection and structural understanding of point clouds. His achievements underscore a commitment to solving foundational challenges in 3D scene understanding, making his work essential reading for students and engineers developing next-generation perception technologies.
Research Focus
Key Achievements
Top Papers
- 1