Lee Seohang

Papers

Total Citations

H-Index

About

Lee Seohang is a researcher focused on advancing automotive safety through the development and evaluation of Advanced Driver-Assistance Systems (ADAS). His key research area centers on creating realistic, active safety testing methodologies for autonomous and semi-autonomous vehicles. His most notable contribution is the design of a "target robot" for active safety evaluation, detailed in his 2019 paper, which has garnered 13 citations. This work addresses a critical gap in ADAS validation by providing a controlled, repeatable platform to test vehicle responses to dynamic obstacles, such as pedestrians or other cars, without risking human lives. By enabling more rigorous and standardized safety assessments, Seohang's research directly supports the reliable deployment of ADAS technologies in real-world driving scenarios. His contributions are particularly valuable for automotive engineers and safety regulators seeking to improve the robustness of collision avoidance systems. Through his targeted focus on active safety evaluation, Lee Seohang is helping to bridge the gap between laboratory testing and on-road performance, making autonomous driving safer for everyone.