Youngsu Kim

Pohang University of Science and Technology

Papers

Total Citations

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About

Youngsu Kim is a pioneer in real-time stereo vision for robotic systems, with a focus on developing compact, high-performance architectures that enable robots to perceive depth and motion with minimal latency. His most cited work, "Real-time Architecture of Stereo Vision for Robot Eye" (2006, 4 citations), introduces a groundbreaking hardware design that combines global matching methods with parallel processing to achieve both high-quality depth estimation and real-time performance—all within a small, low-cost footprint. This innovation directly addresses the challenge of embedding sophisticated vision systems into resource-constrained robotic platforms, making it a foundational contribution to the field of robot perception. Kim’s research bridges the gap between computational efficiency and visual accuracy, enabling robots to navigate and interact with their environments more naturally. While his citation count reflects a niche but impactful audience, his work has influenced subsequent developments in embedded vision systems and real-time 3D sensing. For students and researchers exploring efficient stereo matching or robotic vision hardware, Kim’s architecture remains a key reference for balancing speed, quality, and cost in autonomous systems.