Yin Thu Win

Papers

Total Citations

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About

Yin Thu Win is a researcher whose work lies at the intersection of sensor technology, robotics, and intelligent perception systems. Her primary research focuses on advancing object detection and shape recognition in challenging environments, particularly where traditional optical sensors fail. Her most-cited paper, "Shape detection of object behind thin medium using ultrasonic sensors" (2018), introduces a novel method that combines ultrasonic sensor signals with edge detection techniques to identify the shape of objects obscured by thin barriers. This work is notable for its practical application in surveillance and autonomous ground vehicles, offering a robust solution for navigation and threat detection in low-visibility conditions. With 3 citations, this foundational study has contributed to the growing field of non-visual sensing for robotics. Win’s research is distinguished by its emphasis on real-world deployment, designing systems that are both effective and easily integrable into existing autonomous platforms. Her contributions are particularly valuable for students and researchers interested in sensor fusion, robotic perception, and the development of resilient autonomous systems capable of operating in complex, obstructed environments.