Pass-by noise acoustic sensing for estimating speed and wheelbase length of two-axle vehicles.

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.


Published in:
The Journal of the Acoustical Society of America, 133, 5, 3322
Presented at:
International Congress on Acoustics, Montreal, Canada, 2-7 June 2013
Year:
2013
Laboratories:




 Record created 2013-01-23, last modified 2018-09-13

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