Dong Seog Han
Papers
2
Total Citations
24
H-Index
2
About
Dong Seog Han is a leading researcher in autonomous vehicle perception and 3D vision, with a focus on enabling robust, real-world navigation through advanced sensor fusion and deep learning. His key research areas include point cloud mapping, LiDAR-based localization, and monocular 3D object detection. Han’s major contribution is the development of a comprehensive framework for generating high-fidelity point cloud maps from 3D LiDAR scans, which directly supports precise vehicle localization—a critical capability for safe autonomous driving. This work, published in 2022, has already garnered 22 citations, reflecting its immediate impact on the field. More recently, Han introduced MonoDGAE, a novel depth-guided attention mechanism combined with bilateral filtering that significantly improves monocular 3D object detection accuracy under challenging conditions. This innovation addresses a longstanding bottleneck in single-camera perception systems. Han’s research is notable for bridging the gap between theoretical sensor processing and practical deployment, making him a key contributor to the next generation of intelligent, collision-free vehicles. His work continues to shape how autonomous systems perceive and navigate complex urban environments.
Research Focus
Key Achievements
Top Papers
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- 2