Acoustic vehicle speed estimation from single sensor measurements
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00351743" target="_blank" >RIV/68407700:21230/21:00351743 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/JSEN.2021.3110009" target="_blank" >https://doi.org/10.1109/JSEN.2021.3110009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JSEN.2021.3110009" target="_blank" >10.1109/JSEN.2021.3110009</a>
Alternative languages
Result language
angličtina
Original language name
Acoustic vehicle speed estimation from single sensor measurements
Original language description
The paper addresses acoustic vehicle speed estimation using single sensor measurements. We introduce a new speed-dependent feature based on the attenuation of the sound amplitude. The feature is predicted from the audio signal and used as input to a regression model for speed estimation. For this research, we have collected, annotated, and published a dataset of audio-video recordings of single vehicles passing by the camera at a known constant speed. The dataset contains 304 urban-environment real-field recordings of ten different vehicles. The proposed method is trained and tested on the collected dataset. Experiments show that it is able to accurately predict the pass-by instant of a vehicle and to estimate its speed with an average error of 7.39 km/h. When the speed is discretized into intervals of 10 km/h, the proposed method achieves the average accuracy of 53.2% for correct interval prediction and 93.4% when misclassification of one interval is allowed. Experiments also show that sound disturbances, such as wind, severely affect acoustic speed estimation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF19_074%2F0016255" target="_blank" >EF19_074/0016255: International Mobility of Researchers MSCA IF III at CTU in Prague</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Sensors Journal
ISSN
1530-437X
e-ISSN
1558-1748
Volume of the periodical
21
Issue of the periodical within the volume
20
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
23317-23324
UT code for WoS article
000709128900120
EID of the result in the Scopus database
2-s2.0-85114714611