Lingmin Li
Papers
1
Total Citations
3
H-Index
1
About
Lingmin Li’s research centers on precision robotic measurement and sensor calibration, with a focus on integrating laser and monocular vision systems for 3D spatial sensing. Their most cited work introduces a novel method for free-pose calibration of a rotating laser monocular vision sensor, enabling accurate determination of camera and laser plane parameters without restrictive setups. By leveraging an invariant in projective geometry, Li’s approach simplifies the calibration of position and orientation for robotic 3D measurement systems, addressing a critical challenge in industrial automation and metrology. This contribution, though early in its citation impact, lays foundational groundwork for flexible, high-precision sensing in robotics. Li’s work is notable for its theoretical elegance—using geometric invariants to reduce constraints—and its practical potential in applications like autonomous navigation and quality inspection. As a researcher, Li demonstrates a commitment to advancing sensor fusion and calibration methodologies, with implications for more adaptable and accurate robotic systems.
Research Focus
Key Achievements
Top Papers
- 1