Authors: Roza Maghsood; Pär Johannesson; Jonas Wallin
Addresses: Chalmers University of Technology, Göteborg, Sweden ' SP Technical Research Institute of Sweden, Borås, Sweden ' Lund University, Lund, Sweden
Abstract: 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.
Keywords: hidden Markov models; HMMs; Laplace distribution; discrete distribution; EM algorithm; steering events.
International Journal of Vehicle Systems Modelling and Testing, 2016 Vol.11 No.4, pp.313 - 329
Received: 26 May 2016
Accepted: 24 Sep 2016
Published online: 12 Apr 2017 *