Dongje Lee

OverviewAI-generated summary

Dongje Lee's research focuses on the development and application of sensor fusion techniques for autonomous navigation and robotics, particularly in maritime environments. His work involves integrating data from multiple sensors, such as LiDAR and radar, to enhance localization and mapping capabilities. Lee has published on methods for improving odometry robustness, including the GenZ-ICP algorithm for LiDAR odometry and the XPRESS technique for X-Band radar place recognition. He has also investigated systems for ship size estimation using fused LiDAR and camera data for berthing monitoring. Lee collaborates with researchers at Hendrix College, including Hanguen Kim, Jin-Bum Park, Jaeseong Koh, and Yejin Kang, on these projects. His publication record includes work on the MOANA dataset, designed for maritime odometry and autonomous navigation.

Metrics

• h-index: 3
• Publications: 6
• Citations: 298