Cheng-Hsiang Ho

Papers

Total Citations

H-Index

About

Cheng-Hsiang Ho is a researcher specializing in autonomous mobile robotics and intelligent control systems, with a particular focus on vision-based navigation and parking maneuvers for car-like mobile robots (CLMRs). His most cited work, the 2005 paper "Omni-directional vision-based parallel-parking control design for car-like mobile robot," has garnered 28 citations, establishing a foundational approach to autonomous parking. In this study, Ho pioneered the use of omni-directional vision systems combined with advanced image processing techniques to filter noise and extract characteristic points from the robot's environment, enabling precise and reliable parallel-parking control. This contribution addresses a critical challenge in mobile robotics—autonomous maneuvering in constrained spaces—and has influenced subsequent research in intelligent transportation and automated driving systems. Ho's work demonstrates a practical integration of computer vision and control theory, offering solutions that enhance the autonomy and safety of mobile robots. His research continues to inspire developments in autonomous vehicle parking systems and vision-based navigation, making him a notable figure in the field of robotics and intelligent control.