Zihao Bai
Papers
1
Total Citations
12
H-Index
1
About
Zihao Bai is a researcher at the forefront of autonomous navigation and field robotics, with a specialized focus on perception systems for unstructured agricultural environments. His work addresses critical safety challenges in deploying unmanned ground vehicles (UGVs) in orchards, particularly the detection of negative obstacles—such as ditches and potholes—that are often missed by conventional sensors. Bai’s most-cited paper, “LiDAR-Based Negative Obstacle Detection for Unmanned Ground Vehicles in Orchards” (2024, 12 citations), introduces an innovative method that tilts a LiDAR sensor to 40°, dramatically reducing the sensor’s blind spot from 3 meters to just 0.21 meters. This breakthrough enhances real-time hazard detection, enabling UGVs to navigate complex terrains more safely and efficiently. Bai’s contributions are pivotal for advancing precision agriculture and autonomous systems in challenging outdoor settings, and his work continues to influence the design of robust perception algorithms for field robots.
Research Focus
Key Achievements
Top Papers
- 1