Seung-Hoon Yang

Korea Advanced Institute of Science and Technology

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About

Dr. Seung-Hoon Yang is a leading researcher in autonomous driving perception, with a primary focus on 4D radar sensing and multi-sensor fusion for robust localization. His most impactful contribution is the development of the **MSC-RAD4R** dataset, a ROS-based automotive dataset specifically designed to address the critical shortage of high-quality, odometry-rich 4D radar data. By integrating comprehensive ground truth and sensor streams, this work has become a foundational resource for advancing 4D radar odometry research, enabling more reliable navigation in adverse weather conditions where cameras and LiDAR often fail. With 37 citations since its 2023 publication, the dataset has rapidly gained traction in the robotics and autonomous vehicle communities. Dr. Yang’s research bridges the gap between high-resolution radar capabilities and practical SLAM applications, directly tackling the challenge of extreme-weather robustness. His work is essential for students and engineers developing perception systems that must operate safely in rain, fog, or snow, positioning him as a key figure in the next generation of all-weather autonomous navigation.