A NEURAL NETWORK APPROACH TO VEHICLE CLASSIFICATION WITH DOUBLE INDUCTIONLOOPS

@inproceedings{Pursula1994ANN,
  title={A NEURAL NETWORK APPROACH TO VEHICLE CLASSIFICATION WITH DOUBLE INDUCTIONLOOPS},
  author={Matti Pursula and Pekka Pikkarainen},
  year={1994}
}
The paper describes the development of a neural network algorithm for vehicle classification with loop detectors. The basic input for the classification is the loop analog signal which has a form typical to different vehicle classes. Seven classes of vehicles are used, namely car, van or pickup, car/van/pickup with trailer, truck, bus, truck with semitrailer and truck with full trailer. The analog loop signals are first preprocessed to form feature vectors of twenty elements. A 12*12 feature… CONTINUE READING