Ye-Chan An
Papers
5
Total Citations
22
H-Index
3
About
Ye-Chan An is a robotics researcher whose work spans visual tracking, autonomous navigation, and intelligent disinfection systems. Their key contributions lie in developing perception and control algorithms for mobile robots operating in complex, real-world environments. An’s most cited work, “SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model” (8 citations), addresses the challenge of robust pedestrian tracking for surveillance and autonomous vehicles by integrating re-identification into a Siamese network. In logistics robotics, they proposed an advanced navigation system for autonomous mobile robots (AMR) that outperforms traditional AGV solutions, earning 5 citations. An also innovated in public health robotics with a UV sensor coverage algorithm for disinfection robots (4 citations), and developed a novel method for glass line feature extraction using only range data from low-cost LiDAR (3 citations). Their work on missing button recognition in elevator panels (2 citations) further demonstrates their focus on enabling robots to operate in constrained, human-centric spaces. With a growing citation record, An’s research is shaping the next generation of autonomous systems that are safer, more perceptive, and better integrated into daily life.
Research Focus
Key Achievements
Top Papers
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- 3
- 4A new range‐only measurement‐based glass line feature extraction method3 citations · 2021
- 5Comparative Analysis for Missing Button Recognition in an Elevator Panel2 citations · 2023