Shuang Lv
Papers
1
Total Citations
1
H-Index
1
About
Dr. Shuang Lv is a rising researcher in the field of autonomous robotics and computer vision, with a focused expertise in simultaneous localization and mapping (SLAM) systems. Her work directly addresses one of the most persistent challenges in the field: the degradation of SLAM performance in dynamic, real-world environments. In her highly-cited 2025 paper, "A Dynamic Visual SLAM System based on YOLOv5s and Scene Flow," Dr. Lv proposes a novel integration of deep learning and geometric methods to robustly filter out moving objects. By combining the object detection capabilities of YOLOv5s with the motion cues provided by scene flow, her system enables autonomous vehicles and robots to maintain accurate localization and mapping even when surrounded by pedestrians, vehicles, and other dynamic interferences. This contribution is critical for advancing the reliability of autonomous navigation in complex, unstructured settings. With her work already garnering attention in the research community, Dr. Lv is establishing herself as a key voice in the next generation of robust, perception-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1A Dynamic Visual SLAM System based on YOLOv5s and Scene Flow1 citations · 2025