Xudong Wan
Papers
1
Total Citations
21
H-Index
1
About
Xudong Wan is a researcher specializing in computer vision and 3D environmental perception, with a particular focus on object detection and localization using unconventional sensor inputs. His most cited work, "Object detection and localization in 3D environment by fusing raw fisheye image and attitude data" (2019, 21 citations), introduces a novel approach that integrates raw fisheye imagery with attitude data to achieve robust 3D object detection. This contribution is significant for applications in autonomous navigation, robotics, and augmented reality, where wide-angle, low-cost sensors are essential but often suffer from distortion and limited depth perception. By fusing these data streams, Wan’s method improves accuracy in complex, dynamic environments without relying on expensive LiDAR or stereo setups. While his citation count reflects a focused, emerging body of work, the paper’s integration of fisheye imaging and attitude data represents a practical advancement for real-world deployment. Wan’s research is particularly valuable for students and engineers seeking efficient, sensor-fusion solutions for 3D perception in resource-constrained systems.
Research Focus
Key Achievements
Top Papers
- 1