Jungsoo Park
Papers
2
Total Citations
5
H-Index
2
About
Jungsoo Park is a researcher specializing in mobile robot indoor navigation, with a particular focus on overcoming challenges posed by transparent obstacles such as glass walls. His work addresses a critical limitation of Laser Range Finders (LRFs)—sensors prized for their high accuracy, resolution, and speed—which often generate noise or fail to detect transparent surfaces, leading to navigation errors. Park’s major contributions include developing filtering and localization methods to mitigate LRF noise from glass obstacles, thereby enhancing the reliability of autonomous robots in indoor environments. His most-cited paper, "A method to LRF noise filtering for the transparent obstacle in mobile robot indoor navigation environment with straight glass wall" (2016), has garnered 3 citations, while his earlier work, "A Method to Localize Transparent Glass Obstacle Using Laser Range Finder in Mobile Robot Indoor Navigation" (2014), has 2 citations. Though modest in citation count, these studies represent foundational steps in solving a persistent problem in robotics, offering practical solutions for safer and more efficient navigation in spaces like offices, malls, and hospitals. Park’s research is particularly valuable for students and engineers seeking to advance sensor fusion and obstacle detection in real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2