Papers
2
Total Citations
48
H-Index
2
About
Soonmin Hwang is a leading researcher in autonomous systems, computer vision, and intelligent vehicle technologies, with a focus on real-time perception and human-robot interaction. His most cited work, "Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles" (2016, 46 citations), addresses a critical bottleneck in autonomous driving: the high computational complexity of detection and tracking of multiple objects (DATMO). By fusing camera and LIDAR data, Hwang proposed a computationally efficient framework that enables real-world deployment, advancing the practicality of intelligent vehicles. More recently, Hwang introduced the T2FPV dataset and method (2023), tackling a novel challenge in pedestrian trajectory prediction—correcting errors inherent in first-person (egocentric) views. This work is pivotal for developing socially-aware robots that navigate crowded spaces safely, bridging the gap between traditional third-person prediction models and the natural perspective of interacting agents. Hwang’s contributions demonstrate a consistent commitment to making autonomous systems faster, more accurate, and contextually aware, with direct implications for robotics, autonomous driving, and human-centered AI.
Research Focus
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Top Papers
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