Shuang Luo

Chengdu University of Information Technology, Chengdu University

Papers

Total Citations

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About

Shuang Luo is a researcher advancing the frontier of autonomous navigation and mobile robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) technology. Their work centers on developing robust perception systems that enable unmanned vehicles to operate reliably in complex, real-world environments. Luo’s major contributions include pioneering a tightly-coupled SLAM framework that integrates LiDAR and Inertial Navigation Systems (INS), achieving high-accuracy navigation even under challenging conditions like poor lighting—a critical breakthrough for campus and urban deployments. This work has garnered 5 citations since 2024, reflecting its immediate relevance. Additionally, Luo has advanced point cloud processing by introducing a novel feature extraction method based on point cloud roughness, which enhances the efficiency and reliability of SLAM systems. This research, cited twice since 2022, addresses a fundamental bottleneck in robotic perception. By tackling both sensor fusion and feature extraction, Luo is shaping the next generation of autonomous vehicle navigation, making their work essential reading for students and engineers seeking practical, high-performance solutions for real-world SLAM challenges.