Yue-hong Xu

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About

Yue-hong Xu is a researcher whose work lies at the intersection of computer vision and robotics, with a primary focus on real-time spatial perception. His most notable contribution is the development of a real-time range finding system using binocular stereo vision, a critical technology for enabling mobile robots to navigate and interact with their environment. In this system, Xu leverages a TMS320DM642 DSP to process paired images, employing Gaussian filters and improved Sobel kernels for robust feature extraction, followed by a feature-based local stereo matching algorithm to compute depth information. This work, published in 2012, has garnered approximately 20 citations, demonstrating its relevance in the field of embedded vision systems. Xu’s approach stands out for its emphasis on real-time performance, making it particularly valuable for autonomous navigation tasks where latency is a critical factor. By integrating hardware acceleration with refined image processing techniques, he has contributed a practical solution for range acquisition that balances computational efficiency with accuracy. His research continues to inform the development of cost-effective, DSP-based vision systems for mobile robotics.