Chaehoon Park

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Chaehoon Park is a researcher whose work lies at the intersection of computer vision and autonomous navigation, with a particular focus on enabling machines to perceive and understand complex natural environments. His research centers on two key areas: vision-based navigation systems and robust small-object detection. Park's most influential contribution is his 2011 paper on "Vision-based navigation with efficient scene recognition," which has garnered 7 citations and addresses the critical challenge of how autonomous systems can interpret their surroundings using visual input alone. Building on this foundation, his 2010 work on "Detecting Small Objects in Natural Scene using Depth Cue" introduces a novel strategy that leverages depth information to overcome a persistent limitation in computer vision—the difficulty of identifying objects that occupy only a tiny fraction of an image. This approach was particularly innovative because most existing object recognition methods struggled with scale variance and cluttered backgrounds. Park's work has practical implications for robotics, surveillance, and autonomous driving, where reliable detection of small, distant objects is essential for safe and effective operation.