@article{ref1,
title="An acoustic based method for jointly estimating speed and wheelbase length of two-axle road vehicles as they pass by",
journal="Journal of the Acoustical Society of America",
year="2013",
author="Marmaroli, Patrick and Falourd, Xavier and Hervé, Lissek",
volume="133",
number="5",
pages="3322-3322",
abstract="This paper focuses on acoustic road traffic monitoring and looks, more specifically, into the problem of speed and wheelbase length estimation of two-axle vehicles as they pass by. It is known that both front and rear axle trajectories may be dissociated using cross-correlation based methods in conjunction with a well designed two-element microphone array placed on the roadside. This is mainly due to the broadband nature of the tyre/road noise which makes two peaks appear, one per axle, in the correlation measurement when the vehicle is in the broadside direction. This paper aims at analyzing such a &quot;bimodal'' observation in order to automatically extract the position, speed, and wheelbase length of passing-by vehicles. We propose to conduct this tracking problem using a particle filter that model the position-variant bimodal sound source nature of the vehicles. The theoretical developments presented in this paper are experimentally assessed through real in-situ measurements.<p /> <p>Language: en</p>",
language="en",
issn="0001-4966",
doi="10.1121/1.4805553",
url="http://dx.doi.org/10.1121/1.4805553"
}