Citation

Marmaroli P, Falourd X, Hervé L. J. Acoust. Soc. Am. 2013; 133(5): 3322.

Affiliation

Ecole Polytechnique Fédérale de Lausanne (EPFL), EPFL IEL STI LEMA, ELB 033, Station 11, Lausanne 1015, Switzerlandpatrick.marmaroli@epfl.ch.

Copyright

(Copyright © 2013, American Institute of Physics)

DOI

10.1121/1.4805553

PMID

23654894

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 "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.

Language: en