TY  - JOUR
PY  - 2006//
TI  - Prediction of human driving behavior using dynamic Bayesian networks
JO  - IEICE transactions on information and systems
A1  - Kumagai, T.
A1  - Akamatsu, Motoyuki
SP  - 857
EP  - 860
VL  - E89D
IS  - 2
N2  - 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 />
LA  - 
SN  - 0916-8532
UR  - http://dx.doi.org/
ID  - ref1
ER  -