Jonas Wallin
Senior lecturer, Director of third cycle studies, Department of Statistics
Detection of steering events using hidden Markov models with multivariate observations
Author
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.
Department/s
- Department of Statistics
Publishing year
2016-01-01
Language
English
Pages
313-329
Publication/Series
International Journal of Vehicle Systems Modelling and Testing
Volume
11
Issue
4
Document type
Journal article
Publisher
Inderscience Publishers
Topic
- Probability Theory and Statistics
- Vehicle Engineering
Keywords
- Discrete distribution
- EM algorithm
- hidden Markov models
- Hmms
- Laplace distribution
- steering events
Status
Published
ISBN/ISSN/Other
- ISSN: 1745-6436