Yu Luo

Papers

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About

Yu Luo is a researcher whose work lies at the intersection of robotics, computer vision, and autonomous navigation, with a particular focus on 3D mapping and simultaneous localization and mapping (SLAM). His most-cited paper, "Survey of 3D Map in SLAM: Localization and Navigation" (2017), has garnered 9 citations, providing a comprehensive overview of how 3D maps enable robots to perceive, localize, and navigate complex environments. This survey synthesizes key techniques and challenges in the field, serving as a valuable resource for researchers developing robust SLAM systems. Luo’s contributions help bridge the gap between theoretical mapping algorithms and practical deployment in autonomous systems, such as drones and self-driving vehicles. His work underscores the critical role of accurate spatial representation in enabling reliable real-world navigation. By systematically analyzing state-of-the-art methods, Luo has helped shape foundational knowledge in SLAM, making his research a useful reference for students and engineers advancing autonomous robotics.