Assessment of Micro-Doppler based road targets recognition based on co-operative multi-sensor automotive radar applications

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Abstract

Radar systems have become one of the principal sensory components in automotive vehicles, due to their ability to detect and discriminate between different objects in various scenarios. In this paper the micro-Doppler signature is used to identify road targets as cyclist, person, group of people, dog walking, and dog trotting. In order to boost the performance of Automatic Target Recognition in automotive environment, each node could share its micro-Doppler based features in a co-operative manner, using novel Vehicle To Vehicle communication frameworks based on joint radar and communication systems. The classification performance is evaluated considering two scenarios, a single-sensor scenarios where the micro-Doppler signature is observed by a single user, and a multi-sensor scenarios where each user shares its feature vector.
Original languageEnglish
Title of host publication2020 IEEE Radar Conference (RadarConf20)
Place of PublicationPiscataway, NJ.
PublisherIEEE
Number of pages6
ISBN (Print)9781728189437
DOIs
Publication statusPublished - 4 Dec 2020
EventIEEE Radar Conference 2020 - Florence, Florence, Italy
Duration: 21 Sep 202025 Sep 2020

Conference

ConferenceIEEE Radar Conference 2020
CountryItaly
CityFlorence
Period21/09/2025/09/20

Keywords

  • automatic target recognition
  • automotive application
  • single sensor
  • multi sensor

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