Yukyung Choi

Korea Advanced Institute of Science and Technology, Sejong University, Yonsei University

Papers

Total Citations

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About

Yukyung Choi is a researcher whose work spans intelligent vehicles, agricultural robotics, human–robot interaction, and emotion recognition. His key contributions lie in developing efficient, real-time systems for object detection and tracking, particularly through sensor fusion. His most cited paper, “Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles” (2016, 46 citations), addresses the critical challenge of high computational complexity in real-world DATMO applications, proposing a fused approach that balances speed and accuracy for autonomous driving. In agricultural robotics, Choi’s recent work “FRESH: Fusion-Based 3D Apple Recognition via Estimating Stem Direction Heading” (2024) tackles the underexplored problem of apple stem orientation, a vital step for automated harvesting. His earlier research on real-time arm motion imitation for human–robot tangible interfaces (2009) and a survey on emotion recognition databases (2022) further demonstrate his breadth, from physical interaction to affective computing. With a focus on practical, deployable solutions, Choi’s work is shaping the future of robotics in both industrial and agricultural settings.