Papers
2
Total Citations
6
H-Index
2
About
Zike Lei is a researcher whose work lies at the intersection of robotics, computer vision, and autonomous systems, with a particular focus on visual odometry and mobile sensor networks. Lei’s major contributions include the development of robust visual odometry methods on SE(3), addressing critical challenges such as modeling errors, measurement noise, and feature misidentification that arise when a vehicle’s attitude cannot be reliably retrieved. This work, published in 2023 and garnering 3 citations, provides a rigorous framework for trajectory estimation using onboard cameras, enhancing the reliability of autonomous navigation in uncertain environments. Additionally, Lei has advanced the field of visual inspection by proposing a T-timespan dynamic coverage approach for mobile camera networks. This work, also from 2023 with 3 citations, introduces a novel sensing model that overcomes the limitations of existing dynamic coverage methods, enabling more effective and efficient visual inspection in industrial and everyday applications. Lei’s research is notable for its practical impact on robotics and automation, offering innovative solutions that bridge theoretical design with real-world verification.
Research Focus
Key Achievements
Top Papers
- 1Robust Visual Odometry On $\text{SE}(3)$: Design and Verification3 citations · 2023
- 2