Jin Won Jang

Papers

Total Citations

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About

Jin Won Jang is a robotics researcher whose work focuses on multi-robot systems, sensor networks, and vision-based tracking. His most cited paper, "A multi-robot positioning system using a multi-code ultrasonic sensor network and a Kalman filter" (2010, 23 citations), introduces a novel approach to accurate robot localization by integrating ultrasonic sensors with Kalman filtering, enabling robust multi-robot coordination in indoor environments. This contribution addresses critical challenges in autonomous navigation and cooperative robotics. Jang also advanced computer vision techniques for mobile robot tracking, as seen in his work "Modified Otsu's method for indoor mobile robot tracking system" (2014, 3 citations), where he improved thresholding algorithms—a fundamental step in image preprocessing—to enhance object tracking accuracy and performance. By refining Otsu's method, Jang demonstrated how global and local thresholding strategies can be optimized for real-time robotic applications. His research bridges sensor fusion and image processing, offering practical solutions for indoor robot localization and tracking. With a focus on precision and efficiency, Jang’s work continues to influence the development of autonomous systems, particularly in environments requiring reliable multi-robot coordination and vision-based perception.