Xing Xiong

Papers

Total Citations

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About

Xing Xiong is a researcher specializing in robotics, computer vision, and autonomous navigation, with a particular focus on indoor mobile robot localization. His work addresses critical challenges in position estimation, especially the ambiguity caused by non-unique landmarks and the underutilization of high-dimensional visual data. His most cited paper, "Position estimation algorithm based on natural landmark and fish-eyes' lens for indoor mobile robot" (2011, 4 citations), introduces a novel algorithm that leverages natural landmarks and fish-eye lens imagery to enhance the accuracy and robustness of vision-based localization. This contribution is notable for its innovative use of wide-angle optics to capture richer environmental cues, reducing reliance on artificial markers and improving performance in cluttered indoor settings. Xiong’s research has implications for autonomous systems, service robots, and smart environments, offering practical solutions for real-world deployment. His work continues to influence the development of more reliable and efficient navigation technologies.