Xuecheng An

Papers

Total Citations

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About

Xuecheng An is a researcher specializing in robotics, computer vision, and autonomous navigation, with a particular focus on indoor robot localization. Their major contributions lie in developing novel methods for absolute localization in unknown indoor environments using binocular vision and natural landmarks. An's work addresses a fundamental challenge in mobile robotics: enabling robots to determine their precise position without relying on external infrastructure like GPS or artificial markers. Their 2015 paper, cited 5 times, introduced a method that extracts feature points from indoor ceiling corners as natural landmarks, employing a double-threshold FAST algorithm for robust feature detection. Building on this, their 2017 study, also with 5 citations, refined the approach to achieve reliable self-localization in unknown environments using ceiling corners as landmarks. These contributions are significant for advancing practical, cost-effective solutions for indoor robot navigation, with potential applications in service robots, warehouse automation, and smart home systems. An's work demonstrates a clear progression from concept to improved methodology, establishing a foundation for future research in vision-based robot localization.