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Identifying Road Artefacts with Mobile Devices

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Information and Software Technologies (ICIST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 538))

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Abstract

In this paper, the concept of monitoring the state of roads by means of standard mobile devices (smartphones) is discussed. Using motion data from the device’s sensors - accelerometer, gyroscope, compass - and in coordination with the current location from the Global Positioning System devices, it is possible to track and log any abnormal motion which may signal possible road infrastructure problems. The authors describe the software solution created to gather motion data, as well as the results of an experiment with a real-life car and real roads in different conditions. A pilot study carried out allows to test a developed application which provides precise localization of the artefacts occurring on the road.

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Acknowledgments

Marcin Badurowicz is a participant of the project: “Qualifications for the labour market - employer friendly university”, cofinanced by European Union from European Social Fund.

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Authors and Affiliations

  1. Institute of Computer Science, Lublin University of Technology, Nadbystrzycka St. 38D, 20-618, Lublin, Poland

    Marcin Badurowicz & Jerzy Montusiewicz

Authors
  1. Marcin Badurowicz
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  2. Jerzy Montusiewicz
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Corresponding author

Correspondence to Marcin Badurowicz .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damasevicius

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Badurowicz, M., Montusiewicz, J. (2015). Identifying Road Artefacts with Mobile Devices. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2015. Communications in Computer and Information Science, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-24770-0_43

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  • DOI: https://doi.org/10.1007/978-3-319-24770-0_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24769-4

  • Online ISBN: 978-3-319-24770-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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