Xinyuan Lin
Papers
1
Total Citations
4
H-Index
1
About
Xinyuan Lin is a leading researcher in energy-efficient AI hardware, with a focus on multi-sensor perception for autonomous driving and robotics. His most notable contribution is the development of a 28nm 1.2GHz scalable vision/point cloud deep fusion processor, which achieves an impressive 5.27TOPS/W efficiency. This work introduces a CAM-based universal mapping unit specifically designed for Bird's Eye View (BEV) fusion applications—a critical advancement for real-time environmental perception in autonomous systems. By addressing the substantial computational challenges of fusing visual and point cloud data, Lin's processor enables faster, more efficient processing while maintaining high accuracy. His 2024 paper has already garnered 4 citations, reflecting its immediate impact on the field. Lin's research bridges the gap between deep learning algorithms and practical hardware implementation, offering a scalable solution that could accelerate the deployment of autonomous vehicles and intelligent robots. His work stands out for its focus on real-world efficiency, making him a key figure in the evolution of edge AI for perception tasks.
Research Focus
Key Achievements
Top Papers
- 1