Zezhong Xu

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About

Zezhong Xu is a pioneer in mobile robotics localization and mapping, with foundational contributions to scan matching and map-based navigation in indoor environments. His research focuses on solving two critical problems: global localization—determining a robot’s position without prior knowledge—and local position estimation, both essential for autonomous navigation. Xu’s most influential work, “Scan matching based on CLS relationships” (2004, 21 citations), introduced a novel approach using CLS (corner, line, segment) relationships to enhance the accuracy of scan matching for position estimation. He further advanced the field with “Map building and localization using 2D range scanner” (2004, 19 citations), where he developed a method for building local maps via splitting and merging scan points, then merging them into a global map represented by sorted line segments. His work on “Global localization based on corner point” (2004, 3 citations) demonstrated how corner points can serve as robust features for map matching. With over 40 cumulative citations, Xu’s research has laid critical groundwork for modern SLAM (Simultaneous Localization and Mapping) systems, influencing how robots perceive and navigate structured environments.