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Multispectral Data Acquisition in the Assessment of Driver’s Fatigue

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Smart Solutions in Today’s Transport (TST 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 715))

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Abstract

Many factors contribute for the occurrence of the road accidents. The most important are the behaviour of drivers and the level of their fatigue. Appropriate recognition of driver’s fatigue is now becoming an important research issue, the results of which are beginning to be implemented in automotive driver assistant systems. In the article the authors present the characteristics of selected multispectral data (visual image, depth map, thermal image) used for automatic assessment of driver fatigue and the station for their acquisition. For the study a simulator station has been proposed and developed. It reflects the driver’s cabin (based on physical measurements of a wide range of vehicles), is equipped with the appropriate video sensors (including depth and thermal recorders) and monitors showing real driving situations. The acquired data streams can be used for research on the development of non-invasive methods for assessing the degree of driver fatigue.

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Authors and Affiliations

  1. West Pomeranian University of Technology, Żołnierska Str. 52, 71-210, Szczecin, Poland

    Krzysztof Małecki, Adam Nowosielski & Paweł Forczmański

Authors
  1. Krzysztof Małecki
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  2. Adam Nowosielski
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  3. Paweł Forczmański
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Corresponding author

Correspondence to Krzysztof Małecki .

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Editors and Affiliations

  1. Polish Association of Transport Telematics, Katowice, Poland

    Jerzy Mikulski

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Małecki, K., Nowosielski, A., Forczmański, P. (2017). Multispectral Data Acquisition in the Assessment of Driver’s Fatigue. In: Mikulski, J. (eds) Smart Solutions in Today’s Transport. TST 2017. Communications in Computer and Information Science, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-66251-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-66251-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66250-3

  • Online ISBN: 978-3-319-66251-0

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