Yonghui Wei

Papers

Total Citations

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About

Yonghui Wei is a leading researcher in intelligent perception and autonomous navigation, with a primary focus on millimeter wave (MMW) radar simultaneous localization and mapping (SLAM) technology. His most cited work, "False Detections Revising Algorithm for Millimeter Wave Radar SLAM in Tunnel" (2023, 11 citations), addresses a critical challenge in deploying SLAM systems in extreme environments such as tunnel accident rescue scenes. Wei’s key contribution lies in developing robust algorithms that revise false detections, enabling reliable vehicle detection and mapping under conditions of darkness, heat, and smoke where conventional vision-based systems fail. This work has significant implications for emergency response and autonomous driving in degraded visual environments. By advancing MMW radar SLAM frameworks, Wei has helped bridge the gap between theoretical SLAM research and practical deployment in high-risk, low-visibility scenarios. His research demonstrates a clear commitment to solving real-world navigation problems, and his citation record reflects growing recognition within the robotics and sensing communities. Wei’s contributions are particularly valuable for students and researchers interested in sensor fusion, SLAM robustness, and the application of radar technology in challenging operational domains.