Papers

1

Total Citations

22

H-Index

1

About

You Xu is a rising leader in millimeter-wave (mmWave) radar sensing, with a focus on overcoming fundamental limitations in non-line-of-sight (NLOS) detection. His seminal work, "Leveraging Rough-Relay-Surface Scattering for Non-Line-of-Sight mmWave Radar Sensing" (2023), has already garnered 22 citations for introducing a novel approach that exploits rough-surface scattering to enable NLOS target detection around street corners—a critical capability for autonomous robots and intelligent transportation systems. By moving beyond conventional third-order bounce geometries, Xu’s research directly addresses collision risks in blind-spot scenarios, offering a practical path to safer, more perceptive autonomous navigation. His contributions bridge theoretical scattering models with real-world sensing challenges, positioning him as a key innovator in radar-based environmental perception. With this work, Xu demonstrates a rare ability to translate complex electromagnetic phenomena into deployable sensing solutions, marking him as a researcher to watch in the rapidly evolving field of mmWave radar systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Leveraging Rough-Relay-Surface Scattering for Non-Line-of-Sight mmWave Radar Sensing
22 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Wuhan National Laboratory for Optoelectronics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago