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.
ORCID iDs
Striano, Pasquale, Ilioudis, Christos V. ORCID: https://orcid.org/0000-0002-7164-6461, Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X and Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391;-
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Item type: Book Section ID code: 73478 Dates: DateEvent4 December 2020Published25 September 2020Published Online15 June 2020AcceptedNotes: © 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 ManagementDepositing user: Pure Administrator Date deposited: 06 Aug 2020 10:40 Last modified: 10 Sep 2024 22:58 URI: https://strathprints.strath.ac.uk/id/eprint/73478