C. Royere

Papers

Total Citations

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About

C. Royere is a researcher whose work lies at the intersection of mobile robotics and sensor fusion, with a particular focus on enhancing autonomous navigation through robust perception systems. Their most-cited paper, "Obstacle Detection Based on Fusion Between Stereovision and 2D Laser Scanner" (2007, 11 citations), addresses a fundamental challenge in robotics: creating reliable obstacle detection for mobile platforms operating in unstructured outdoor environments. Royere’s key contribution lies in developing a multi-sensor fusion approach that combines stereovision cameras with 2D laser scanners, leveraging the complementary strengths of each sensor to improve detection accuracy and robustness beyond what single-sensor systems can achieve. This work is notable for tackling the persistent difficulty of designing systems that remain reliable under varying lighting and terrain conditions. While their citation count reflects a focused, specialized impact, Royere’s research has contributed to foundational techniques in sensor integration for autonomous vehicles and field robotics. Their approach continues to inform current work in perception systems, particularly for applications requiring high reliability in challenging environments.