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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Marmaroli, P. Carmona, M. Odobez, J.-M. Falourd, X. Lissek, H. |
| Copyright Year | 2000 |
| Abstract | This paper focuses on road traffic monitoring using sounds and proposes, more specifically, a microphone array design methodology for observing vehicle trajectory from acoustic-based correlation functions. In a former work, authors have shown that combining generalized cross correlation (GCC) functions and a particle filter onto the audio signals simultaneously acquired by two sensors placed near the road allows the joint estimation of the speed and the wheelbase length of road vehicles as they pass by. This is mainly due to the broadband nature of the tire/road noise, which makes their spatial dissociation possible by means of an appropriate GCC processor. At the time, nothing has been said about the best distance to chose between the sensors. A methodology is proposed here to find this optimum, which is expected to improve the observation quality and, thus, the tracking performance. Theoretical developments of this paper are partially assessed with preliminary experiments. |
| Sponsorship | IEEE Intelligent Transportation Systems Society |
| Starting Page | 1654 |
| Ending Page | 1664 |
| Page Count | 11 |
| File Size | 1221624 |
| File Format | |
| ISSN | 15249050 |
| Volume Number | 14 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Road vehicles Acoustic signal processing Particle filters Vehicle detection Microphone arrays Direction-of-arrival estimation vehicle detection direction-of-arrival estimation microphone arrays particle filters road vehicles |
| Content Type | Text |
| Resource Type | Article |
| Subject | Automotive Engineering Mechanical Engineering Computer Science Applications |
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