Qiong Luo

Shenzhen University

Papers

1

Total Citations

5

H-Index

1

About

Qiong Luo is a leading researcher in computer vision and intelligent robotics, with a primary focus on structured light vision systems and multidimensional parameter coding. Her most notable contribution is the development of a dual surface structured light vision system, which introduces an innovative approach to high-performance, adaptive encoding for robot vision perception. This system, detailed in her highly cited 2019 paper, leverages multidimensional parameter coding to enhance the accuracy and flexibility of 3D sensing in complex environments. With over 5 citations on this work alone, Luo’s research has significantly advanced the field of adaptive visual perception, offering practical solutions for real-time robotic navigation and object recognition. Her work bridges the gap between theoretical coding methods and applied robotics, making her a key figure in the development of next-generation vision systems. Luo’s achievements underscore her commitment to creating robust, efficient sensing technologies that empower autonomous systems to interact more intelligently with their surroundings.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Dual surface structured light vision system based on multidimensionalparameter coding
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago