DMCA
Acoustic Based Safety Emergency Vehicle Detection for Intelligent Transport Systems
| Citations: | 2 - 0 self |
BibTeX
@MISC{Fazenda_acousticbased,
author = {Bruno Fazenda and Hidajat Atmoko and Fengshou Gu and Luyang Guan and Andrew Ball},
title = {Acoustic Based Safety Emergency Vehicle Detection for Intelligent Transport Systems},
year = {}
}
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Abstract
Abstract: A system has been investigated for the detection of incoming direction of an emergency vehicle. Acoustic detection methods based on a cross microphone array have been implemented. It is shown that source detection based on time delay estimation outperforms sound intensity techniques, although both techniques perform well for the application. The relaying of information to the driver as a warning signal has been investigated through the use of ambisonic technology and a 4 speaker array which is ubiquitous in most modern vehicles. Simulations show that accurate warning information may be relayed to the driver and afford correct action.
Keyphrases
safety emergency vehicle detection intelligent transport system time delay estimation cross microphone array modern vehicle warning signal acoustic detection method emergency vehicle afford correct action accurate warning information sound intensity technique source detection speaker array ambisonic technology
