@article{ref1,
title="Prediction of human driving behavior using dynamic Bayesian networks",
journal="IEICE transactions on information and systems",
year="2006",
author="Kumagai, T. and Akamatsu, Motoyuki",
volume="E89D",
number="2",
pages="857-860",
abstract="This paper presents a method of predicting future human driving behavior under the condition that its resultant behavior and past observations are given. The proposed method makes use of a dynamic Bayesian network and the junction tree algorithm for probabilistic inference. The method is applied to behavior prediction for a vehicle assumed to stop at an intersection. Such a predictive system would facilitate warning and assistance to prevent dangerous activities, such as red-light violations, by allowing detection of a deviation from normal behavior.<p />",
language="",
issn="0916-8532",
doi="",
url="http://dx.doi.org/"
}