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

Striano, Pasquale and Ilioudis, Christos V. and Clemente, Carmine and Soraghan, John J.; (2020) Assessment of Micro-Doppler based road targets recognition based on co-operative multi-sensor automotive radar applications. In: 2020 IEEE Radar Conference (RadarConf20). IEEE, ITA. ISBN 9781728189437 (https://doi.org/10.1109/RadarConf2043947.2020.9266...)

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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.

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• Item metadata

  Item type:	Book Section
  ID code:	73478
  Dates:	Date Event 4 December 2020 Published 25 September 2020 Published Online 15 June 2020 Accepted
  Notes:	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Measurement Science and Enabling Technologies Strategic Research Themes > Ocean, Air and Space Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	06 Aug 2020 10:40
  Last modified:	08 Apr 2024 14:05
  URI:	https://strathprints.strath.ac.uk/id/eprint/73478