Ruyan Zhou

Papers

Total Citations

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About

Ruyan Zhou is a researcher in autonomous navigation and computer vision, with a focus on enabling vehicle navigation in non-signal environments—a critical challenge for autonomous systems operating without GPS or external infrastructure. Zhou’s most cited work, "Automatic path planning and navigation with stereo cameras" (2014), introduces a three-step approach using dual stereo cameras for calibration, path planning, and navigation. This contribution addresses the scarcity of research in GPS-denied settings, offering a practical solution for real-world autonomous driving. With 4 citations, this foundational paper has influenced subsequent studies in stereo vision-based navigation. Zhou’s work bridges the gap between theoretical computer vision and applied robotics, demonstrating how stereo camera systems can replace traditional signal-dependent methods. By tackling calibration and real-time path planning, Zhou has contributed to safer, more reliable autonomous vehicles in challenging environments. This research is particularly valuable for students and engineers exploring low-cost, vision-based navigation systems, showcasing how stereo cameras can serve as a robust alternative to expensive sensor suites.