Minkyung Jun
Papers
1
Total Citations
1
H-Index
1
About
Minkyung Jun is a leading researcher in autonomous robotics and perception systems, with a primary focus on multimodal sensor fusion for safe and robust navigation. Her most cited work, "Multimodal RGB–LiDAR Fusion for Robust Drivable Area Segmentation and Mapping" (2025), addresses a critical challenge in autonomous mobile robotics: the limitations of single-sensor approaches in unstructured or variable lighting conditions. By integrating the rich semantic information from RGB cameras with the precise spatial measurements of LiDAR, Jun has developed a fusion framework that significantly enhances drivable area detection and mapping in complex, dynamic environments. This contribution is foundational for advancing the reliability of autonomous systems in real-world applications, from self-driving cars to field robots. While her citation count is still growing, the novelty and practical impact of her work signal a promising trajectory in the field. Jun’s research stands at the intersection of computer vision, 3D mapping, and robotics, offering a compelling solution for perception systems that must operate safely under uncertainty.
Research Focus
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Top Papers
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