Vehicle Classification Based on the Radar Measurement of Height Profiles

  • Authors:
  • I. Urazghildiiev;R. Ragnarsson;P. Ridderstrom;A. Rydberg;E. Ojefors;K. Wallin;P. Enochsson;M. Ericson;G. Lofqvist

  • Affiliations:
  • Lab. of Ornithology, Cornell Univ., Ithaca, NY;-;-;-;-;-;-;-;-

  • Venue:
  • IEEE Transactions on Intelligent Transportation Systems
  • Year:
  • 2007

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Abstract

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