Yo-Seup Hawng
Papers
2
Total Citations
7
H-Index
2
About
Yo-Seup Hwang is a robotics researcher whose work focuses on autonomous mobile robot navigation, environmental perception, and spatial mapping using laser-based sensing technologies. His research centers on the practical application of Laser Range Finders (LRF) to solve real-world challenges in robotic autonomy and intelligent vehicle systems. Among his notable contributions, Hwang developed a real-time lane detection algorithm leveraging LRF technology for autonomous navigation, published in 2013 and accumulating 5 citations. This work addressed a fundamental requirement in automobile safety systems, complementing existing technologies such as airbags, ABS, and EPS by enabling reliable environmental awareness. His earlier 2012 work on 3D map building using a single LRF extended the capabilities of mobile robots beyond flat-surface navigation, tackling the more complex challenge of mapping on slanted and uneven terrain — an advancement over many existing approaches that were limited to planar environments, earning 2 citations. While still building his citation profile, Hwang's research reflects a focused dedication to making autonomous robotic systems more capable and practical in real-world conditions, contributing meaningful algorithmic foundations to the fields of robotic perception and intelligent navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A 3D map building algorithm using a single LRF on a mobile robot2 citations · 2012