Poster: Radar-CA: Radar-Sensing Multiple Access with Collision Avoidance

Author:

Qiu Yanlong12ORCID,Zhang Jiaxi34ORCID,Huang Kaiyi3ORCID,Zhang Jin53ORCID,Ji Bo6ORCID

Affiliation:

1. Department of Computer and Information Sciences, Temple University, Philadelphia, USA

2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

3. Southern University of Science and Technology, shenzhen, China

4. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

5. Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Shenzhen, China

6. Virginia Tech, Blacksburg, United States

Publisher

ACM

Reference5 articles.

1. Radchat: Spectrum sharing for automotive radar interference mitigation;Aydogdu C.;IEEE Transactions on Intelligent Transportation Systems,2019

2. Lane detection with a high-resolution automotive radar by introducing a new type of road marking;Feng Z.;IEEE Transactions on Intelligent Transportation Systems,2018

3. RadarMAC: Mitigating Radar Interference in Self-Driving Cars

4. On Unified Vehicular Communications and Radar Sensing in Millimeter-Wave and Low Terahertz Bands

5. Demo: A Joint Radar and Communication System Based on Commercially Available FMCW Radar

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