Pengpeng Sun

Papers

Total Citations

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About

Pengpeng Sun is a researcher focused on autonomous navigation and visual perception for mobile robotics, with a particular emphasis on accurate positioning systems. Their key contributions center on developing robust visual odometry methods that enable robots to determine their location in real-world environments using monocular cameras. Sun’s most cited work, “Visual odometry for on-road vehicles based on trifocal tensor” (2015, 2 citations), introduces a novel approach that leverages the trifocal tensor—a geometric constraint between three views—to achieve high-precision positioning for autonomous robots. By simulating a two-wheeled mobile robot with a single camera, this research demonstrates how advanced computer vision techniques can replace expensive sensor suites, making autonomous navigation more accessible and cost-effective. While citation counts are modest, the work addresses a fundamental challenge in robotics: reliable self-localization without GPS. Sun’s research bridges theoretical geometry and practical deployment, offering a foundation for future studies in visual SLAM and autonomous driving. Their dedication to solving core positioning problems underscores a commitment to advancing mobile robot autonomy in real-world settings.