Weicheng Sun

Papers

Total Citations

H-Index

About

Weicheng Sun’s research focuses on advancing robotic perception and navigation in challenging environments, particularly underwater and for mobile binocular robots. His work bridges computer vision and robotics, addressing critical challenges in autonomous systems. Sun’s most cited paper, “A Survey: Stereo Based Navigation for Mobile Binocular Robots” (2013), provides a comprehensive overview of stereo vision techniques for robot navigation, laying foundational insights that have garnered 6 citations. In his 2014 study, “Color model selection for underwater object recognition,” Sun systematically analyzes the unique characteristics of underwater imagery—such as color attenuation and scattering—and evaluates classical illumination-invariant color models to enhance object recognition. This work identifies optimal color spaces for robust underwater vision, a key contribution to marine robotics and autonomous underwater vehicles. While his citation counts reflect an emerging career, Sun’s targeted investigations into stereo navigation and underwater color modeling demonstrate a clear trajectory toward solving real-world perception problems. His research is particularly valuable for students and engineers developing vision systems for robots operating in degraded visual environments, offering practical guidance on model selection and system design that advances the field of autonomous navigation.