Huaiyuan Yu

Beijing University of Chemical Technology

Papers

Total Citations

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About

Huaiyuan Yu is a researcher specializing in visual simultaneous localization and mapping (SLAM), with a particular focus on robust perception in challenging real-world environments. Their most-cited work, "Visual Simultaneous Localization and Mapping (SLAM) Based on Blurred Image Detection" (2021), addresses a critical limitation in autonomous navigation: the degradation of SLAM performance caused by motion blur. By integrating blur detection into the SLAM pipeline, Yu’s approach enables systems to filter or compensate for low-quality frames, significantly improving localization accuracy and map consistency in dynamic or high-speed scenarios. This contribution has garnered 5 citations, reflecting its relevance to the growing field of resilient robotics and autonomous systems. Yu’s research bridges computer vision and robotics, offering practical solutions for drones, autonomous vehicles, and handheld devices operating under adverse visual conditions. Their work underscores a commitment to advancing SLAM reliability, making it a foundational reference for researchers tackling real-world deployment challenges.