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Issues and Challenges of Intelligent Systems and Computational Intelligence pp 103–115Cite as

Vehicle Classification Using Neural Networks with a Single Magnetic Detector

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 530))

Abstract

In this work, principles of operation, advantages and disadvantages are presented for different detector technologies. An idea of a new detection and classification method for a single magnetic sensor based system is also discussed. It is important that the detection algorithm and the neural network classifier needs to be easily implementable in a microcontroller based system.

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Acknowledgments

I would like to thank companies “SELMA” Ltd. and “SELMA Electronic Corp” Ltd. for the technical resources and support during my work.

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Authors and Affiliations

  1. Széchenyi István University, Egyetem tér 1., 9026 , Győr, Hungary

    Peter Šarčević

Authors
  1. Peter Šarčević
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Correspondence to Peter Šarčević .

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Editors and Affiliations

  1. Department of Automation, Széchenyi István University, Győr, Hungary

    László T. Kóczy

  2. Department of Information Technology, Széchenyi István University, Győr, Hungary

    Claudiu R. Pozna

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Šarčević, P. (2014). Vehicle Classification Using Neural Networks with a Single Magnetic Detector. In: Kóczy, L., Pozna, C., Kacprzyk, J. (eds) Issues and Challenges of Intelligent Systems and Computational Intelligence. Studies in Computational Intelligence, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-319-03206-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-03206-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03205-4

  • Online ISBN: 978-3-319-03206-1

  • eBook Packages: EngineeringEngineering (R0)

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