Zhenkun Xu
Papers
1
Total Citations
3
H-Index
1
About
Zhenkun Xu is a researcher in mobile robotics and computer vision, with a focus on monocular visual positioning systems for structured environments. His work addresses the critical challenge of enabling robots to reliably localize themselves using a single camera, a key requirement for autonomous navigation. Xu's most cited paper, "Design and recognition of monocular visual artificial landmark based on arc angle information coding" (2018, 3 citations), introduces an innovative artificial landmark design that is both rotation-invariant and adaptable to large field angles. This method enhances the robustness of visual positioning by using arc-angle coding for detection and recognition, offering a scalable solution for mobile robot guidance. While his citation count is modest, Xu's contribution lies in the practical engineering of visual landmarks that balance simplicity with performance, making his work relevant for researchers developing cost-effective navigation systems. His approach to coding visual information through geometric primitives demonstrates a thoughtful integration of geometry and perception, laying groundwork for more resilient autonomous systems in controlled environments.
Research Focus
Key Achievements
Top Papers
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