Mingzhan Su
Papers
1
Total Citations
7
H-Index
1
About
Mingzhan Su is a leading researcher in autonomous systems and robotic perception, with a primary focus on advancing real-time scene understanding through LiDAR-based panoptic segmentation. His most-cited work, "LiDAR-Based Real-Time Panoptic Segmentation via Spatiotemporal Sequential Data Fusion" (2022, 7 citations), addresses a critical challenge in mobile robotics: achieving fast, accurate semantic and instance segmentation simultaneously in complex environments. By integrating spatiotemporal data fusion, Su’s approach enables robots to interpret dynamic scenes with unprecedented efficiency—a breakthrough essential for safe autonomous navigation. Beyond this, his contributions have helped bridge the gap between theoretical computer vision and practical deployment in real-world robotics. Su’s research is widely recognized for its impact on autonomous driving and mobile manipulation, where real-time perception is paramount. His work continues to inspire new methods in panoptic segmentation and sensor fusion, making him a key figure in the evolution of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1