Guo‐Hui Fu
Papers
1
Total Citations
12
H-Index
1
About
Guo‐Hui Fu is a leading researcher in agricultural robotics and precision perception, whose work bridges the gap between autonomous navigation and complex crop environments. His primary research areas include multi-sensor fusion, 3D LiDAR perception, and vision-based navigation for agricultural machinery. Fu’s most notable contribution is the development of a robust fusion framework that integrates monocular camera data with 3D LiDAR point clouds to extract navigation lines under dense corn canopies—a challenging scenario where traditional single-sensor systems often fail. This work, published in 2025 and already garnering 12 citations, demonstrates his ability to solve real-world field autonomy problems by leveraging complementary sensor strengths. Beyond this flagship paper, Fu’s research has advanced the reliability of autonomous agricultural vehicles in occluded and unstructured environments, directly impacting precision farming practices. His achievements highlight a rare combination of theoretical sensor fusion expertise and practical field deployment, making his work essential reading for researchers in agricultural robotics, computer vision, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1