Papers
10
Total Citations
269
H-Index
7
About
Byungjae Park is a leading researcher in autonomous mobile robotics, specializing in long-term localization, path planning, and human-robot interaction. His most influential work, "1-Day Learning, 1-Year Localization" (136 citations), introduces a Scan Context Image-based method that enables robust year-round LiDAR localization from just a single day of training—a breakthrough for real-world deployment. Park also pioneered the Co-Pilot Agent system (31 citations), a cooperative framework for vehicle/driver interaction and autonomous driving that prioritizes safety and traffic rule compliance. His foundational contributions to path planning include hierarchical roadmap representations (29 citations) and incremental construction methods (15 citations) that efficiently map indoor environments for mobile robots. More recently, Park has advanced real-time 3D multi-pedestrian detection and tracking using LiDAR point clouds (19 citations), addressing critical safety challenges for robots in crowded spaces. With over 260 total citations across his portfolio, Park’s work bridges theoretical innovation and practical application, from odometry calibration to logistics robots for Industry 4.0. His research continues to shape how autonomous systems perceive, navigate, and cooperate in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Co-Pilot Agent for Vehicle/Driver Cooperative and Autonomous Driving31 citations · 2015
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- 5Incremental hierarchical roadmap construction for efficient path planning15 citations · 2018
- 6Odometry calibration using home positioning function for mobile robot14 citations · 2008
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- 10Logistics and Delivery Robots in the 4th Industrial Revolution2 citations · 2019