Huali Xie
Papers
1
Total Citations
4
H-Index
1
About
Huali Xie is a researcher whose early work focused on advancing computer vision and robotics, particularly in the context of autonomous systems. Their key research areas include real-time image processing, object recognition, and distance calculation for robotic platforms. Xie's most notable contribution, the 2005 paper "Vision-based fast objects recognition and distances calculation of robots," addresses the critical need for efficient vision processing in competitive robotics, specifically the four-legged league of RoboCup. By leveraging offline threshold calibration with Intel's OPENCV library for online image segmentation, Xie developed a method that significantly accelerates object identification and spatial measurement. This work, cited 4 times, demonstrates a practical approach to balancing computational speed and accuracy in dynamic environments. While the citation count is modest, the research holds importance for its application in real-world robotic competitions, where rapid and reliable vision is essential. Xie's contributions underscore the challenges of integrating computer vision into resource-constrained robotic systems, offering a foundation for subsequent work in autonomous navigation and real-time scene understanding.
Research Focus
Key Achievements
Top Papers
- 1