Guoyang Zhao
Papers
3
Total Citations
40
H-Index
3
About
Guoyang Zhao is a researcher advancing the fields of agricultural robotics and 3D perception, with a focus on sensor fusion and depth estimation. His work bridges precision agriculture and autonomous navigation, notably through the development of a row anchor selection classification method for early-stage crop row-following (2021, 29 citations), which enables robust vision-guided navigation in challenging field conditions. In 3D reconstruction, Zhao contributed OmniColor (2024, 8 citations), a global camera pose optimization approach for LiDAR-360° camera fusion that produces high-fidelity colored point clouds—a critical asset for robotic navigation and scene understanding. Most recently, his FisheyeDepth model (2025, 3 citations) tackles the persistent challenge of real-scale, self-supervised depth estimation from fisheye cameras, addressing the scarcity of ground truth data and image distortions inherent to wide field-of-view sensors. This work has direct implications for autonomous vehicles and robotics. With each publication, Zhao demonstrates a commitment to solving real-world perception problems, from agricultural automation to 3D scene comprehension, establishing himself as a rising voice in applied computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3