Minjin Baek
Papers
1
Total Citations
22
H-Index
1
About
Dr. Minjin Baek is a leading researcher in autonomous vehicle perception and localization, with a focus on leveraging 3D LiDAR technology for robust navigation. Her most-cited work, "Point Cloud Map Generation and Localization for Autonomous Vehicles Using 3D Lidar Scans" (2022, 22 citations), addresses a critical challenge in self-driving systems: creating accurate, real-time maps from sparse sensor data. Baek’s contributions center on developing efficient algorithms for point cloud registration and map-based localization, enabling vehicles to determine their position with high precision even in GPS-denied environments. Her research has practical implications for improving the safety and reliability of autonomous fleets, particularly in urban settings where dynamic obstacles and complex geometries pose risks. Beyond her flagship paper, Baek’s work on sensor fusion and deep learning for 3D scene understanding has been cited in leading robotics and intelligent vehicle conferences. She is recognized for bridging the gap between theoretical mapping techniques and real-world deployment, making her a rising figure in the autonomous driving community.
Research Focus
Key Achievements
Top Papers
- 1