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Detection of steering events using hidden Markov models with multivariate observations
Chalmers University of Technology, Gothenburg, Sweden.
RISE - Research Institutes of Sweden, Safety and Transport. (RISE Safety and Transport, Mechanics Research)ORCID iD: 0000-0002-6730-0214
Lund University, Lund, Sweden.
2016 (English)In: International Journal of Vehicle Systems Modelling and Testing, Vol. 11, no 4, 313-329 p.Article in journal (Refereed) Published
Abstract [en]

In this article we propose a method to identify steering events, such as curves and manoeuvres for vehicles. We use a hidden Markov model with multidimensional observations, to estimate the number of events. Three signals, lateral acceleration, steering angle speed and vehicle speed, are used as observations. We demonstrate that hidden Markov models with a combination of continuous and discrete distributions for observations can be used to detect steering events. Further, the expected number of events is estimated using the transition matrix of hidden states. The results from both measured and simulated data show that the method works well and accurately estimates the number of steering events.

Place, publisher, year, edition, pages
2016. Vol. 11, no 4, 313-329 p.
Keyword [en]
hidden Markov models, HMMs, Laplace distribution, discrete distribution, EM algorithm, steering events
National Category
Mathematics Natural Sciences Probability Theory and Statistics Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-30019DOI: 10.1504/IJVSMT.2016.083752OAI: oai:DiVA.org:ri-30019DiVA: diva2:1117952
Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-07-03Bibliographically approved

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Publisher's full texthttp://www.inderscienceonline.com/doi/abs/10.1504/IJVSMT.2016.083752

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