Papers
1
Total Citations
22
H-Index
1
About
You Lv is a researcher advancing the integration of deep learning and radar technologies for intelligent perception systems. His primary research areas include computer vision, radar signal processing, and deep learning-based object recognition, with a focus on developing robust sensing solutions for autonomous systems. Lv's most notable contribution is his 2018 paper, "Deep learning based smart radar vision system for object recognition," which has garnered 22 citations. This work demonstrates a pioneering approach to combining radar data with deep neural networks, enabling reliable object detection in challenging environments where traditional optical sensors may fail—such as low-light or adverse weather conditions. By bridging the gap between radar and computer vision, Lv's research has practical implications for autonomous driving, surveillance, and robotics. His work highlights the potential of radar as a complementary sensing modality, contributing to safer and more resilient AI-driven systems. With a growing citation impact, You Lv continues to influence the development of smart sensing technologies that enhance machine perception in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Deep learning based smart radar vision system for object recognition22 citations · 2018