Xiaolei Quan
Papers
1
Total Citations
8
H-Index
1
About
Xiaolei Quan’s research centers on robotics, computer vision, and real-time object tracking, with a focus on developing efficient sensor fusion techniques for autonomous systems. In his most-cited work, “Fast object location and tracing using two CCD cameras and laser range finder” (2006, 8 citations), Quan introduced a novel method that integrates dual CCD cameras with a laser range finder to rapidly locate and trace moving objects. This approach enables robots to acquire positional data in real time, significantly improving response speed and accuracy in dynamic environments. By combining visual and depth information, Quan’s system overcomes limitations of single-sensor methods, offering a robust solution for applications in robotics, automation, and surveillance. Though his citation count reflects a focused early contribution, the work demonstrates foundational insight into multi-modal sensing for motion tracking—a critical capability for modern autonomous navigation. Quan’s research underscores the importance of hardware-software co-design in achieving real-time performance, making his findings valuable for engineers developing responsive robotic systems. His contributions remain relevant as the field advances toward more sophisticated sensor integration.
Research Focus
Key Achievements
Top Papers
- 1