Vehicle Classification Using Neural Networks with a Single Magnetic Detector

Chapter
Part of the Studies in Computational Intelligence book series (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.

Keywords

Neural networks Vehicle detection Magnetic sensors Vehicle classification Vehicle detection technologies 

Notes

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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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Széchenyi István UniversityEgyetem tér 1.GyőrHungary

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