Jonas Wallin
Universitetslektor, Studierektor för forskarutbildningen, Statistiska institutionen
Detection of steering events using hidden Markov models with multivariate observations
Författare
Summary, in English
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.
Avdelning/ar
- Statistiska institutionen
Publiceringsår
2016-01-01
Språk
Engelska
Sidor
313-329
Publikation/Tidskrift/Serie
International Journal of Vehicle Systems Modelling and Testing
Volym
11
Issue
4
Dokumenttyp
Artikel i tidskrift
Förlag
Inderscience Publishers
Ämne
- Probability Theory and Statistics
- Vehicle Engineering
Nyckelord
- Discrete distribution
- EM algorithm
- hidden Markov models
- Hmms
- Laplace distribution
- steering events
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1745-6436