Seong min Park
Papers
1
Total Citations
9
H-Index
1
About
Seong Min Park is a researcher at the forefront of sensor fusion and robotics for extreme environments, with a particular focus on enhancing perception in low-visibility conditions. His key research areas include LiDAR-stereo thermal sensor fusion, point cloud generation, and autonomous navigation for disaster response. Park’s most notable contribution is his pioneering work on integrating thermal imaging with LiDAR and stereo cameras to create robust 3D point clouds in indoor disaster settings, where smoke, dust, or darkness typically render conventional sensors ineffective. His 2023 paper, "LiDAR-Stereo Thermal Sensor Fusion for Indoor Disaster Environment," which has garnered 9 citations, proposes a novel method that enables robots to perceive and navigate through hazardous, visually obscured spaces—a critical advancement for search-and-rescue missions. By addressing the challenges of dense particulate environments, Park’s work directly impacts the development of autonomous systems that can operate where human entry is too dangerous. His research not only advances robotic perception but also holds promise for industrial safety and emergency response, marking him as an emerging leader in field robotics.
Research Focus
Key Achievements
Top Papers
- 1LiDAR-Stereo Thermal Sensor Fusion for Indoor Disaster Environment9 citations · 2023