Sung Hoon Youn
Papers
1
Total Citations
114
H-Index
1
About
Dr. Sung Hoon Youn is a leading researcher in autonomous vehicle perception systems, with a primary focus on sensor fusion and real-time object detection. His most influential work, "LiDAR and Camera Fusion Approach for Object Distance Estimation in Self-Driving Vehicles" (2020, 114 citations), addresses a critical challenge in autonomous driving: the efficient integration of LiDAR and camera data for accurate distance estimation. This paper has become a foundational reference for engineers and researchers developing robust perception stacks, demonstrating how multimodal sensor fusion can overcome the limitations of individual sensors in dynamic driving environments. Dr. Youn’s contributions extend beyond theoretical frameworks, offering practical, real-time solutions that enhance the safety and reliability of self-driving vehicles. His work is widely cited in the autonomous driving and robotics communities, reflecting its impact on both academic research and industrial applications. By advancing the state of the art in sensor fusion, Dr. Youn has helped pave the way for more capable and trustworthy autonomous systems, making him a notable figure in the field of intelligent transportation.
Research Focus
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Top Papers
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