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Road Quality Classification

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Image Analysis and Processing – ICIAP 2022 (ICIAP 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13232))

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Abstract

Road quality significantly influences safety and comfort while driving. Especially for most kinds of two-wheelers, road damage is a real threat, where vehicle components and enjoyment are heavily impacted by road quality. This can be avoided by planning a route considering the surface quality. We propose a new publicly available and manually annotated dataset collected from Google Street View photos. This dataset is devoted to a road quality classification task considering six levels of damage. We evaluated some preprocessing methods such as shadow removal, CLAHE, and data augmentation. We adapted several pre-trained networks to classify road quality. The best performance was reached by MobileNet using augmented dataset (75.55%).

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Notes

  1. 1.

    https://rdd2020.sekilab.global/, https://github.com/sekilab/RoadDamageDetector.

  2. 2.

    https://github.com/lenoch0d/road-quality-classification.

  3. 3.

    https://github.com/vinthony/ghost-free-shadow-removal.

  4. 4.

    Including output classification layers for the ImageNet dataset.

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Acknowledgements

This research has been supported by SGS grant No. SGS20/213/OHK3/3T/18 and by GACR grant No. GA18-18080S.

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Authors and Affiliations

  1. Faculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic

    Martin Lank & Magda Friedjungová

Authors
  1. Martin Lank
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  2. Magda Friedjungová
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Corresponding author

Correspondence to Magda Friedjungová .

Editor information

Editors and Affiliations

  1. Boston University, Boston, MA, USA

    Stan Sclaroff

  2. National Research Council, Lecce, Italy

    Cosimo Distante

  3. National Research Council, Lecce, Italy

    Marco Leo

  4. University of Catania, Catania, Italy

    Giovanni M. Farinella

  5. Technische Universität München, Garching, Germany

    Federico Tombari

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Lank, M., Friedjungová, M. (2022). Road Quality Classification. In: Sclaroff, S., Distante, C., Leo, M., Farinella, G.M., Tombari, F. (eds) Image Analysis and Processing – ICIAP 2022. ICIAP 2022. Lecture Notes in Computer Science, vol 13232. Springer, Cham. https://doi.org/10.1007/978-3-031-06430-2_46

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  • DOI: https://doi.org/10.1007/978-3-031-06430-2_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06429-6

  • Online ISBN: 978-3-031-06430-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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