自己回帰入出力隠れマルコフモデルを用いた運転行動のモデル化

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  • Driving Behavior Modeling Using Autoregressive Input-Output Hidden Markov Models

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<p>This paper presents a driving behavior modeling method using autoregressive input-output hidden Markov models (AIOHMMs). First, model parameter learning and discrimination ways using the AIOHMMs are detailed. In experiments, we model four driving maneuvers with driver’s eye-gaze and ego-vehicle localization information and compare maneuver discrimination performances by four types of HMMs. Additionally, we discuss modeling performance by the AIOHMMs through the experiments.</p>

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