Yihan Chen

Papers

Total Citations

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About

Yihan Chen is a researcher specializing in mobile robotics and computer vision, with a particular focus on autonomous navigation systems. Their most cited work, "Image-based obstacle avoidance and path-planning system" (2013), introduces a comprehensive image detection method for wheeled mobile robots. This paper demonstrates Chen's expertise in integrating multiple image processing techniques—including median filtering, morphological processing, Canny edge detection, and connected component labeling—to enable real-time obstacle recognition and path planning. While Chen's citation count of 5 reflects a focused, early-career impact, the work represents a foundational contribution to vision-based robotic navigation. The research bridges classical computer vision algorithms with practical robotics applications, offering a systematic approach to obstacle detection that can be implemented in resource-constrained mobile platforms. Chen's methodology provides a clear, step-by-step framework that has informed subsequent work in autonomous ground vehicles and indoor navigation systems. This research is particularly valuable for students and engineers seeking to understand the practical integration of image processing pipelines with robotic control systems, demonstrating how fundamental computer vision techniques can be effectively combined to solve real-world navigation challenges.