Lichao Yang

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About

Lichao Yang is a researcher at the forefront of intelligent infrastructure monitoring and computer vision. His work primarily focuses on developing advanced sensing and detection systems for the railway and power industries, where he addresses critical challenges in automation and safety. Yang’s most significant contribution is a full 3D reconstruction method for rail tracks using a novel rolling-stock embedded arch camera array. This work, published in 2023 with 9 citations, overcomes the limitations of prior studies that could only analyze specific rail sections or faced deployment difficulties, offering a comprehensive and practical solution for track inspection. Additionally, Yang has advanced the field of automated power grid inspection with a fast detection algorithm for small targets, based on YOLOv3. This algorithm enables robots to perform real-time image analysis directly at the data acquisition point, enhancing the efficiency and reliability of modern power systems. Through these innovations, Yang is helping to build safer, more automated infrastructure, with his research already informing the next generation of intelligent monitoring systems.