Yanke Li
Papers
2
Total Citations
44
H-Index
2
About
Dr. Yanke Li is a leading researcher in the field of robotic perception and simultaneous localization and mapping (SLAM), with a specific focus on enabling robust navigation in dynamic, real-world environments. His most significant contribution is a pioneering method that fuses deep learning with classical visual SLAM to overcome the critical challenge of moving objects. By integrating an improved YOLOv8 object detection framework into the ORB-SLAM3 pipeline, Dr. Li developed a system capable of generating dense point cloud maps while effectively filtering out dynamic elements like pedestrians and vehicles. This work, published in 2024 and already accumulating over 40 citations, represents a major step forward for autonomous systems operating in crowded or unpredictable settings. The high early citation count underscores the immediate relevance of his approach to the robotics and computer vision communities. Dr. Li’s research bridges the gap between high-accuracy geometric mapping and semantic scene understanding, providing a practical solution for applications ranging from autonomous driving to augmented reality. His work is essential reading for any researcher tackling SLAM in non-static environments.
Research Focus
Key Achievements
Top Papers
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- 2