Hanguen Kim Data-verified

OverviewAI-generated summary

Hanguen Kim's research focuses on the application of artificial intelligence techniques to enhance situational awareness and navigation for autonomous systems, particularly in maritime environments. His work investigates methods for object segmentation, tracking, and localization using radar and image processing. Recent publications detail the development of novel algorithms and datasets, such as the MOANA dataset for maritime odometry and autonomous navigation, and VaDA, an image segmentation model for maritime objects. Kim has also explored sensor fusion algorithms, like AnytimeFusion, to integrate data from RGB cameras and radar for improved performance in complex conditions. His research network includes collaborators from Hendrix College, with whom he has co-authored multiple publications. Kim holds a h-index of 13, with 42 total publications and 654 citations.

Metrics

• h-index: 13
• Publications: 42
• Citations: 662