Papers

2

Total Citations

6

H-Index

2

About

Jin Ha Lee is a researcher at the forefront of autonomous navigation, with a specialized focus on enhancing the safety and perceptual capabilities of smaller, slower robotic systems. Her key research area centers on **pedestrian-view intersection classification**, a critical but often overlooked component of autonomous maneuvering. While most studies target aerial or road vehicles, Lee’s major contribution lies in shifting the perspective to the pedestrian level, enabling robots to navigate complex environments with human-like spatial awareness. Her 2020 paper, *"For Safer Navigation: Pedestrian-View Intersection Classification"* (4 citations), lays the groundwork for this approach, while its companion work, *"What Do Pedestrians See?: Visualizing Pedestrian-View Intersection Classification"* (2 citations), provides crucial visualization techniques to interpret these classifications. Though her citation counts are modest, Lee’s work fills a vital niche in the field, directly addressing the challenges of navigating mines, sidewalks, and indoor spaces where slower, agile robots operate. By pioneering this pedestrian-centric methodology, she is paving the way for safer, more intuitive autonomous systems that can coexist harmoniously with human environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
For Safer Navigation: Pedestrian-View Intersection Classification
4 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Electronics and Telecommunications Research Institute, University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago