JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.3 P.208-217

Driving intention recognition and behaviour prediction based on a double-layer hidden Markov model

Author(s): Lei He, Chang-fu Zong, Chang Wang
Affiliation(s): State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China
Corresponding email(s): jlu_helei@126.com, cfzong@yahoo.com.cn
Key Words: Vehicle engineering, Driving intention recognition, Driving behaviour prediction, Driver model, Double-layer hidden Markov model (HMM)

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Abstract: We propose a model structure with a double-layer hidden Markov model (HMM) to recognise driving intention and predict driving behaviour. The upper-layer multi-dimensional discrete HMM (MDHMM) in the double-layer HMM represents driving intention in a combined working case, constructed according to the driving behaviours in certain single working cases in the lower-layer multi-dimensional Gaussian HMM (MGHMM). The driving behaviours are recognised by manoeuvring the signals of the driver and vehicle state information, and the recognised results are sent to the upper-layer HMM to recognise driving intentions. Also, driving behaviours in the near future are predicted using the likelihood-maximum method. A real-time driving simulator test on the combined working cases showed that the double-layer HMM can recognise driving intention and predict driving behaviour accurately and efficiently. As a result, the model provides the basis for pre-warning and intervention of danger and improving comfort performance.

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Open peer comments: Debate/Discuss/Question/Opinion

<1>

Teng Fei@Beijing Institute of tech<19283746_2008@sohu.com>

2014-03-31 16:20:25

I wonna know more about Markov model

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