Papers
1
Total Citations
2
H-Index
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About
Dayu Yan is a researcher focused on advancing visual simultaneous localization and mapping (vSLAM) technologies, particularly for dynamic and challenging environments. His key contributions center on improving the robustness and accuracy of SLAM systems by integrating contour-aware algorithms with RGB-D sensors, addressing the critical issue of moving objects that degrade traditional vSLAM performance. His most-cited work, "CA-SLAM: Contour-Aware SLAM System Based on RGB-D Sensors in Dynamic Environment" (2025, 2 citations), introduces a novel approach that leverages contour information to filter dynamic elements, enhancing system reliability in real-world scenarios. While early in his career, Yan’s work has already demonstrated potential for applications in robotics, autonomous navigation, and augmented reality, where precise spatial mapping is essential. His research bridges the gap between theoretical SLAM frameworks and practical deployment, offering solutions to long-standing challenges in dynamic perception. As a rising contributor to the field, Yan’s ongoing efforts promise to further refine SLAM systems, making them more adaptable and accurate for next-generation intelligent systems.
Research Focus
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Top Papers
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