Jongwoo Lim

Honda (United States), Hanyang University, Data61

Papers

12

Total Citations

209

H-Index

9

About

Jongwoo Lim is a robotics and computer vision researcher whose work centers on visual navigation, depth perception, and state estimation for autonomous systems. His research has made significant contributions to stereo vision, visual-inertial odometry (VIO), and simultaneous localization and mapping (SLAM), addressing core challenges that enable robots and unmanned vehicles to navigate reliably in real-world environments. Lim's early work explored stereo depth map fusion for indoor robot navigation and optimized projection patterns to overcome stereo system limitations in texture-poor scenes. His robust visual homing framework demonstrated reliable landmark-based navigation even in dynamic, unpredictable environments. He later advanced the field of VIO through coupled nonlinear optimization approaches and robust initialization techniques for UAV systems, culminating in the development of ROVINS, a robust omnidirectional visual-inertial navigation system garnering 40 citations. His motion planning research extended into uncertainty-aware frameworks capable of handling dynamic obstacles in real time. Collectively, his most-cited works have accumulated over 200 citations, reflecting broad influence across robotics, autonomous driving, and aerial vehicle communities. A notable highlight includes his work designing an interactive human-robot memory game for Honda's ASIMO, demonstrating his range from foundational perception algorithms to engaging applied robotics demonstrations.

Research Focus

Key Achievements

9
H-Index
12
Papers
209
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Stereo depth map fusion for robot navigation
46 citations · 2011
📈 Most Prolific Year: 2011 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Honda (United States), Hanyang University, Data61

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago