Abstract
The paper presents the intelligent driving assistant system as a device to increase a car active safety without any interference with a driving process. The system - based on the softcomputing methodology working “on-line” - is able to overtake the driver’s reaction. The system analyses pictures in front of the vehicle and recognises road events and the grip of the road. The driver is informed about the each kind of recognised event. To resolve the problem of the road event recognition entirely new picture preprocessing approach has been used. The learning for multilayer perceptron realised by such data gives very good results. The new way of extracting data from pictures is a promising solution. The algorithm was implemented as part of a real system to support the on-line driver decision. The system was tested in the real car in real traffic with very promising results.
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Mazurkiewicz, J., Serafin, T., Jankowski, M. (2016). Intelligent Driving Assistant System. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_62
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DOI: https://doi.org/10.1007/978-3-319-39384-1_62
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