Zeliang Wang

Papers

Total Citations

H-Index

About

Zeliang Wang is a researcher whose work sits at the intersection of computer vision and intelligent transportation systems, with a particular focus on pedestrian detection and tracking from moving platforms. His most cited paper, "Monocular Pedestrian Tracking from a Moving Vehicle" (2013), addresses the challenging problem of robustly tracking pedestrians using a single camera mounted on a vehicle—a critical component for autonomous driving and advanced driver-assistance systems. This work has garnered 7 citations, establishing a foundation for subsequent studies in dynamic, real-world environments where camera motion and occlusions complicate tracking. Wang’s contributions emphasize practical, computationally efficient solutions that bridge the gap between laboratory algorithms and on-road deployment. By tackling the complexities of monocular vision in moving vehicles, his research aids in enhancing safety and reliability for autonomous navigation. While his citation count reflects a focused, early-career impact, the relevance of his work to the rapidly evolving field of autonomous vehicles suggests growing influence. His research remains a valuable reference for students and engineers developing vision-based systems for real-time pedestrian safety.