Dongsuk Kum

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Dongsuk Kum is a leading researcher in autonomous systems and robotics, with a primary focus on drone-assisted disaster management and autonomous driving technologies. His groundbreaking work on integrating infrared cameras with Lidar sensors for victim detection in confined spaces—such as collapsed buildings—has significantly advanced robotic search-and-rescue operations. This highly cited 2016 paper (87 citations) demonstrates his ability to combine multi-modal sensor fusion with practical, life-saving applications. More recently, Kum has pioneered multi-modal place recognition for autonomous vehicles, fusing vectorized HD maps with visual imagery to overcome challenges like repetitive visual patterns. His 2024 work (6 citations) addresses critical robustness issues in visual place recognition, offering lighter, faster solutions for real-world deployment. Kum’s contributions bridge the gap between theoretical sensor fusion and tangible robotic systems, making him a key figure in both disaster robotics and autonomous navigation. His research continues to shape how drones and self-driving cars perceive and interact with complex environments, with clear implications for safety and efficiency in critical applications.