Citation

Kumagai T, Akamatsu M. IEICE Trans. Info. Syst. 2006; E89D(2): 857-860.

Copyright

(Copyright © 2006, Institute of Electronics, Information and Communication Engineers)

DOI

unavailable

PMID

unavailable

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.