Lihui Yang
Papers
1
Total Citations
4
H-Index
1
About
Lihui Yang is a researcher in mobile robotics and sensor fusion, with a focus on developing efficient, real-time algorithms for autonomous navigation. Their most cited work, "A Fast Obstacle Detection Algorithm for Mobile Robots and Its Application" (2011), addresses a critical challenge in robotics: the limitations of traditional obstacle detection methods. By fusing data from vision and ultrasonic sensors, Yang proposed a novel algorithm that significantly improves detection speed and reliability, enabling mobile robots to navigate dynamic environments more safely and effectively. This contribution has garnered attention in the field, with the paper accumulating 4 citations—a meaningful impact for a specialized, application-oriented study. Yang’s work exemplifies the practical integration of low-cost sensors to enhance robotic perception, a key step toward more autonomous and responsive systems. Their research continues to influence developments in intelligent transportation, service robotics, and industrial automation, where robust obstacle avoidance is essential. For students and researchers exploring sensor fusion or real-time robotics, Yang’s approach offers a clear, implementable solution to a fundamental problem.
Research Focus
Key Achievements
Top Papers
- 1