Xiaochi Li

Papers

Total Citations

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About

Xiaochi Li is a researcher whose work centers on autonomous navigation and mobile robotics, with a particular focus on visual odometry—the process of estimating a vehicle’s movement using camera data alone. His most notable contribution is a method for on-road vehicles that leverages the trifocal tensor, a geometric construct that captures the relationships between three camera views, to achieve high-precision positioning without relying on GPS or expensive sensors. This approach, detailed in his 2015 paper, was validated using a two-wheeled car equipped with a monocular camera, demonstrating its practical potential for real-world autonomous systems. While his citation count (2) is modest, the work addresses a fundamental challenge in robotics: accurate, cost-effective localization. Li’s research is particularly relevant for students and engineers exploring visual-based navigation, as it offers a streamlined alternative to more complex multi-sensor setups. His focus on trifocal geometry highlights a deep understanding of computer vision principles, making his work a valuable reference for those entering the field of autonomous vehicle technology.