Sang Min Yoon

Papers

Total Citations

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About

Sang Min Yoon is a leading researcher in computer vision and medical physics, whose work bridges autonomous systems and precision healthcare. His primary research areas include robust vanishing point detection for autonomous driving and advanced motion compensation in radiation therapy. Yoon’s most cited paper, "Optimized Clustering Scheme-Based Robust Vanishing Point Detection" (2019, 13 citations), introduces a novel clustering algorithm that significantly improves vanishing point estimation under challenging real-world conditions—critical for advanced driver assistance systems and autonomous vehicles. This work addresses the persistent challenge of handling spurious line segments in complex environments. In a groundbreaking cross-disciplinary contribution, Yoon’s "Geometric and dosimetric verification of a recurrent neural network algorithm to compensate for respiratory motion using an articulated robotic couch" (2020, 10 citations) demonstrates how deep learning can enhance cancer treatment accuracy by dynamically compensating for patient breathing during radiotherapy. This innovative fusion of computer vision and medical physics showcases Yoon’s ability to translate pattern recognition techniques into life-saving clinical applications. His research continues to impact both autonomous navigation and precision medicine, making him a notable figure in applied artificial intelligence.