TY  - JOUR
PY  - 2016//
TI  - Detection of steering events using hidden Markov models with multivariate observations
JO  - International journal of vehicle modelling and testing
A1  - Maghsood, Roza
A1  - Wallin, Jonas
A1  - Johannesson, Pär
SP  - 313
EP  - 329
VL  - 11
IS  - 4
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1745-6436
UR  - http://dx.doi.org/10.1504/IJVSMT.2016.10004534
ID  - ref1
ER  -