Bowon Jung
Papers
1
Total Citations
3
H-Index
1
About
Bowon Jung is a researcher in mobile robotics, with a primary focus on environment recognition and autonomous navigation. His most cited work, "Performance evaluation method for environment recognition of mobile robot employing video database" (2013), addresses a critical challenge in robotics: how to systematically assess a robot’s ability to perceive and react to its surroundings during motion. By proposing a video database-based evaluation framework, Jung provided a standardized method to test obstacle avoidance algorithms, enabling more reliable comparisons of robot behavior in dynamic environments. While his citation count is modest—3 citations for this key paper—his contribution lies in laying foundational groundwork for performance metrics in robotic perception. This work is particularly valuable for researchers developing autonomous systems that must safely navigate unpredictable settings, such as service robots or autonomous vehicles. Jung’s research underscores the importance of rigorous testing in advancing real-world robotic capabilities, making his insights relevant for students and engineers aiming to bridge the gap between algorithm design and practical deployment.
Research Focus
Key Achievements
Top Papers
- 1