The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Jonas Wallin. Photo.

Jonas Wallin

Senior lecturer, Director of third cycle studies, Department of Statistics

Jonas Wallin. Photo.

Detection of steering events using hidden Markov models with multivariate observations

Author

  • Roza Maghsood
  • Pär Johannesson
  • Jonas Wallin

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