Seungho Han

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Seungho Han is a researcher advancing autonomous driving perception, with a focus on 4D radar technology and its integration into robust robotic systems. His most prominent contribution is the creation of the **MSC-RAD4R** dataset, a ROS-based automotive dataset featuring 4D radar data. Published in 2023, this work has already garnered 37 citations, reflecting its timely importance. Han identified a critical gap in existing 4D radar datasets—namely, the lack of sufficient odometry sensors for radar odometry research—and addressed it by providing a comprehensive, sensor-rich resource. This dataset enables more accurate and reliable localization and mapping in extreme weather conditions, where traditional sensors like cameras and LiDAR often fail. By bridging this data gap, Han’s work empowers researchers to develop and benchmark 4D radar-based odometry and SLAM algorithms. His contributions are particularly valuable for advancing autonomous navigation in challenging environments, making him a key figure in the evolution of robust, all-weather perception systems for self-driving vehicles and mobile robotics.