Qiuxia Dai
Papers
1
Total Citations
3
H-Index
1
About
Qiuxia Dai is a researcher specializing in computer vision and mobile robotics, with a primary focus on visual positioning and landmark recognition systems. Her most notable contribution is the development of a novel method for designing and recognizing monocular visual artificial landmarks based on arc-angle information coding, published in 2018. This work addresses critical challenges in structured environments, enabling mobile robots to achieve robust monocular vision positioning under large field angles and rotational invariance. The proposed extensible landmark design offers a practical solution for real-world robotic navigation, demonstrating significant potential for applications in autonomous systems and industrial automation. While her citation count remains modest, with 3 citations for this key paper, her work represents an important step forward in visual landmark technology. Dai's research contributes to the broader fields of robot perception and spatial localization, providing foundational techniques that support the development of more reliable and adaptable autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
- 1