Zhe Xuanyuan

Beijing Normal University - Hong Kong Baptist University United International College

Papers

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About

Zhe Xuanyuan is a leading researcher in autonomous navigation and multi-robot cooperative mapping, with a focus on challenging, unstructured environments. His work centers on developing robust perception and localization systems for intelligent vehicles, particularly in large-scale and GPS-denied settings. A key contribution is his pioneering approach to three-dimensional cooperative mapping for connected and automated vehicles, which uses multi-robot collaboration to efficiently map vast areas by intelligently merging local LIDAR maps—a method that has garnered 36 citations. Xuanyuan has also advanced semantic loop closure detection for intelligent vehicles using panoramas, a technique that significantly reduces cumulative positioning errors to generate consistent global maps. More recently, he introduced the AutoMine multimodal dataset, a critical resource designed to spur research into robot navigation within the underexplored domain of open-pit mines. By tackling real-world industrial challenges with innovative, data-driven solutions, Xuanyuan’s work is shaping the future of autonomous systems in complex, off-road environments, bridging the gap between academic research and practical deployment.