Peiqi Ke
Papers
1
Total Citations
7
H-Index
1
About
Peiqi Ke is a researcher in robotics and computer vision, with a primary focus on autonomous navigation and perceptual systems for mobile robots. Their most cited work, "Homography-based ground area detection for indoor mobile robot using binocular cameras" (2011), introduces a novel approach to drivable area detection—a critical challenge for ensuring safe robot operation in indoor environments. By leveraging binocular cameras and homography transformations, Ke developed a method that enhances a robot’s ability to distinguish traversable ground from obstacles, contributing to more reliable and secure autonomous movement. This paper has garnered 7 citations, reflecting its foundational role in ground detection research. Ke’s contributions lie at the intersection of geometric vision and robotic safety, offering practical solutions for real-world deployment. Their work underscores the importance of robust environmental perception in robotics, making it a valuable reference for students and researchers exploring vision-based navigation, stereo imaging, and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1