Prediction of Human Driving Behavior Using Dynamic Bayesian Networks(Biocybernetics, Neurocomputing)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2006-02-01

著者

• Kumagai Toru

  The Institute For Human Science And Biomedical Engineering National Institute Of Advanced Industrial

• AKAMATSU Motoyuki

  the Institute for Human Science and Biomedical Engineering, National Institute of Advanced Industria

• Akamatsu Motoyuki

  The Institute For Human Science And Biomedical Engineering National Institute Of Advanced Industrial

関連論文

• Prediction of Human Driving Behavior Using Dynamic Bayesian Networks(Biocybernetics, Neurocomputing)

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