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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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