Hongrui Peng

Papers

Total Citations

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About

Hongrui Peng is a rising researcher whose work is shaping the future of autonomous navigation, with a primary focus on Simultaneous Localization and Mapping (SLAM) using 3D LiDAR technology. His most-cited paper, "A Review of Dynamic Object Filtering in SLAM Based on 3D LiDAR" (2024, 23 citations), provides a critical synthesis of techniques for handling dynamic environments—a major hurdle in real-world applications like autonomous driving, mobile robotics, and UAVs. By systematically analyzing how to filter out moving objects that corrupt map accuracy, Peng’s review has become a foundational reference for researchers tackling the challenge of robust, real-time perception in cluttered scenes. His work directly addresses the gap between controlled lab settings and unpredictable outdoor conditions, offering a roadmap for improving SLAM reliability. Though early in his career, Peng’s ability to distill complex, rapidly evolving methodologies into actionable insights signals a significant contribution to the field. His review not only catalogs existing solutions but also highlights future directions, making it an essential resource for students and engineers aiming to push the boundaries of autonomous systems.