Abstract
In order to avoid the traffic accidents caused by drivers, unmanned ground vehicles are expected to run on the road, so correct and safe driving behaviors are most important. This paper aims to give a new way of perception based on information processing for control system of intelligent vehicles, and focuses on the present overtaking ability of intelligent vehicles, meanwhile implies the ability of recognizing traffic environment. First we built intelligent driving behavior models with construction perception and pattern recognition on prototype matching; second, based on “Future Challenge” contest we investigated the features of velocity and latitudinal distance of intelligent driving. Our results describe that the intelligent vehicle does have the basic ability of cognizance, and it can make correct reactions corresponding to the driving environment, but its intelligence still needs improving.
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© 2011 Springer-Verlag Berlin Heidelberg
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Gao, X., Dong, G., Gao, L. (2011). Establishment and Analysis of Information Processing Models on Intelligent Overtaking Behavior. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_21
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DOI: https://doi.org/10.1007/978-3-642-24282-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24281-6
Online ISBN: 978-3-642-24282-3
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