Xianqiu Meng
Papers
1
Total Citations
6
H-Index
1
About
Xianqiu Meng is a researcher in computer vision and robotics, with a primary focus on omnidirectional vision systems and localization techniques. Their major contribution lies in advancing dynamic visual localization through the integration of fisheye lenses and particle filter-based beacon tracking. In their seminal 2008 work, Meng addressed the critical challenge of fisheye image distortion by establishing a calibration method for omni-vision systems and proposing a novel rectification algorithm using Support Vector Machines (SVM). This work, which has accumulated 6 citations, provides a foundational approach for generating accurate fisheye lens image centers and correcting wide-angle distortions—essential for robust robot navigation in dynamic environments. Meng’s research bridges the gap between theoretical calibration and practical deployment, offering solutions that enhance the reliability of vision-based localization. While their citation count reflects a niche but impactful contribution, their innovative use of machine learning for image rectification marks a notable achievement in the field. For students and researchers exploring omnidirectional vision, Meng’s work serves as a key reference for understanding distortion correction and beacon-based tracking in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1