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Vehicle classification based on the radar measurement of height profiles
Laboratory of Ornithology, Cornell University.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
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2007 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 8, no 2, 245-253 p.Article in journal (Refereed) Published
Abstract [en]

The problem of classifying road vehicles according to vehicle type is considered. The proposed solution is based on using vehicle height and length and height profiles obtained by a microwave (MW) radar sensor. We show that if the radar sensor satisfies certain requirements, then a precise feature vector can be extracted, and simple deterministic algorithms can be applied to determine the vehicle class. Field trials using a spread-spectrum MW radar sensor system operating on these principles have been carried out. They confirm that accurate classification of a large number of vehicle classes can be reached

Place, publisher, year, edition, pages
2007. Vol. 8, no 2, 245-253 p.
Keyword [en]
Classification, feature extraction, height profile, road vehicles, spread-spectrum radar
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-13376DOI: 10.1109/TITS.2006.890071ISI: 000247106700008OAI: oai:DiVA.org:uu-13376DiVA: diva2:41146
Available from: 2008-01-22 Created: 2008-01-22 Last updated: 2017-12-11Bibliographically approved

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Rydberg, Anders

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