Yurim Jeon

Seoul National University

Papers

2

Total Citations

9

H-Index

2

About

Yurim Jeon is a robotics researcher specializing in autonomous navigation for unstructured environments, with a primary focus on off-road traversability estimation and visual place recognition for service robots. Her most impactful work, "Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues" (2024, 7 citations), introduces a novel self-supervised learning framework that enables off-road vehicles to predict navigable terrain by following natural footprints in the environment. This approach addresses the critical challenge of distinguishing traversable from non-traversable spaces in unstructured outdoor settings, where traditional geometric and visual cues alone prove insufficient. Earlier in her career, Jeon contributed to indoor robotics with "A BRIEF-Gist based efficient place recognition for indoor home service robots" (2016, 2 citations), which tackled the problem of robust visual place recognition in texture-poor indoor environments. Her work bridges the gap between indoor and outdoor robotic navigation, demonstrating versatility in solving real-world autonomy challenges. Jeon’s research has significant implications for autonomous vehicles, search-and-rescue robots, and agricultural robotics, where reliable off-road navigation remains a bottleneck. Her self-supervised approach reduces reliance on expensive labeled data, making her contributions particularly valuable for scalable deployment in diverse terrains.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Seoul National University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago