Runchen Yan
Papers
2
Total Citations
15
H-Index
2
About
Runchen Yan is a researcher specializing in autonomous mobile robotics, with a primary focus on monocular vision-based navigation and control systems. His major contributions lie in developing robust perception algorithms for unstructured environments, particularly for road edge detection and initial positioning. In his 2012 work, Yan proposed two complementary road edge detection methods using monocular vision—one color-based, designed for scenarios with distinct road-off-road color contrasts, and another leveraging geometric cues—enabling mobile robots to navigate unpaved or irregular terrains without relying on expensive sensors like LiDAR. These methods, detailed in his most-cited paper (8 citations), directly support intelligent control and visual navigation in real-world settings. His subsequent research on monocular vision navigation and control (7 citations) further advanced the integration of perception and motion planning for mobile robots. Yan’s work has practical implications for agricultural, search-and-rescue, and field robotics, where structured road markings are absent. By demonstrating that low-cost monocular cameras can achieve reliable autonomous navigation, he has contributed to making mobile robotics more accessible and deployable in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Monocular Vision Navigation and Control of Mobile Robot7 citations · 2012