Lingmei Yin
Papers
1
Total Citations
2
H-Index
1
About
Lingmei Yin is a researcher advancing the field of 3D object detection for autonomous driving and robotics, with a focus on multi-modal sensor fusion. Her key research areas include anchor-free 3D single-stage detection, point cloud processing, and visibility-aware representation learning. Yin’s most notable contribution is the development of SPV-SSD, an anchor-free 3D single-stage detector that introduces Supervised-PointRendering and visibility representation to effectively fuse semantic information from cameras with geometric data from LiDAR sensors. This work addresses critical challenges in perceiving 3D objects in complex environments, enhancing both accuracy and efficiency. Although early in her career, with SPV-SSD accumulating 2 citations since 2022, her innovative approach to multi-modal fusion and anchor-free design positions her as an emerging voice in autonomous perception. Her research holds promise for safer, more reliable automated systems, making her a researcher to watch in the evolving landscape of 3D vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1