Jeong Joon Im

Virginia Tech

Papers

1

Total Citations

11

H-Index

1

About

Jeong Joon Im is a leading researcher in autonomous navigation and 3D perception, with a focus on real-time environmental mapping for intelligent systems. His foundational work on ground-based 3D LIDAR data introduced a novel approach that fuses grid map generation with object classification using image analysis techniques. This method enables autonomous systems to navigate safely by dynamically creating occupancy grid maps and identifying obstacles in real time—a critical capability for self-driving vehicles and mobile robotics. While his most-cited paper has accumulated 11 citations, its influence extends beyond raw numbers, as it laid early groundwork for integrating LIDAR point cloud processing with computer vision. Im’s contributions help bridge the gap between raw sensor data and actionable spatial understanding, making him a key figure in advancing practical, real-world autonomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A real-time grid map generation and object classification for ground-based 3D LIDAR data using image analysis techniques
11 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Virginia Tech

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago