Huangfu Cai-Hong
Papers
1
Total Citations
4
H-Index
1
About
Huangfu Cai-Hong’s research centers on mobile robot navigation and multi-sensor fusion, with a particular focus on obstacle detection for autonomous systems. Their most cited work, “Obstacle detection algorithm for mobile robot based on multi-sensor” (2012, 4 citations), introduces a fast and practical algorithm that combines vision and ultrasonic sensor data to accurately estimate the distance between a robot and rectangular obstacles. This contribution addresses a critical challenge in driver assistance and autonomous navigation, offering a low-cost, efficient solution for real-time obstacle avoidance. Although their citation count is modest, the work demonstrates a clear application-oriented approach to sensor integration, laying groundwork for further studies in robotics perception. Huangfu’s research reflects a dedication to solving practical problems in mobile robotics, making their work a useful reference for students and engineers exploring multi-sensor fusion techniques. Their algorithm’s emphasis on speed and simplicity highlights a pragmatic engineering mindset, contributing to the broader goal of safer and more reliable autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1Obstacle detection algorithm for mobile robot based on multi-sensor4 citations · 2012