Papers
2
Total Citations
11
H-Index
2
About
Zewei Liu is a researcher specializing in optical metrology and sensor fusion, with a particular focus on improving the accuracy and calibration of vision-based distance measurement systems. His work bridges the gap between laser range finders and visual cameras, addressing critical challenges in 3D spatial perception. Liu’s most cited paper, "Calibration of a single-point laser range finder and a camera" (2018, 6 citations), presents a systematic approach to aligning disparate sensor modalities, enabling more reliable data integration for applications in robotics and autonomous navigation. Building on this, his subsequent study, "A new method for increasing accuracy of distance measurement based on single visual camera" (2019, 5 citations), introduces an innovative technique that enhances depth estimation precision using only monocular vision—a cost-effective solution for resource-constrained systems. Though his citation counts are modest, Liu’s contributions are foundational for researchers seeking robust, low-cost alternatives to expensive LiDAR systems. His work demonstrates a clear trajectory from calibration fundamentals to practical accuracy improvements, making him a valuable reference for students and engineers developing sensor-driven perception systems.
Research Focus
Key Achievements
Top Papers
- 1Calibration of a single-point laser range finder and a camera6 citations · 2018
- 2