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Journal of Zhejiang University SCIENCE C
ISSN 1869-1951(Print), 1869-196x(Online), Monthly
2012 Vol.13 No.3 P.208-217
Driving intention recognition and behaviour prediction based on a double-layer hidden Markov model
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.
Key words: Vehicle engineering, Driving intention recognition, Driving behaviour prediction, Driver model, Double-layer hidden Markov model (HMM)
References:
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
DOI:
10.1631/jzus.C11a0195
CLC number:
TP391; U463.6
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On-line Access:
2012-03-01
Received:
2011-07-17
Revision Accepted:
2011-12-07
Crosschecked:
2012-02-09