Xingming Feng
Papers
1
Total Citations
8
H-Index
1
About
Dr. Xingming Feng is a leading researcher in the fields of computer vision, unmanned aerial vehicle (UAV) technology, and 3D reconstruction, with a particular focus on stereo vision simultaneous localization and mapping (SLAM). His most cited work, "Stereo vision SLAM-based 3D reconstruction on UAV development platforms" (2023, 8 citations), addresses a critical challenge in large-scale 3D reconstruction from UAV imagery: achieving accurate, drift-free state estimation. By integrating stereo vision SLAM into UAV development platforms, Dr. Feng has advanced the capability to generate robust 3D models from aerial data, a technique essential for applications in surveying, mapping, and environmental monitoring. His contributions are foundational for enabling autonomous UAV navigation and real-time scene understanding, bridging the gap between theoretical SLAM algorithms and practical deployment. With growing interest in UAV-based remote sensing, Dr. Feng’s work continues to influence researchers and engineers seeking scalable solutions for 3D reconstruction, making him a notable figure in the intersection of robotics and geospatial technology.
Research Focus
Key Achievements
Top Papers
- 1Stereo vision SLAM-based 3D reconstruction on UAV development platforms8 citations · 2023