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Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set

Author

Listed:
  • Alexander Maletzky

    (RISC Software GmbH, 4232 Hagenberg, Austria)

  • Nikolaus Hofer

    (RISC Software GmbH, 4232 Hagenberg, Austria)

  • Stefan Thumfart

    (RISC Software GmbH, 4232 Hagenberg, Austria)

  • Karin Bruckmüller

    (Faculty of Law, Johannes Kepler University, 4040 Linz, Austria
    Faculty of Law, Sigmund Freud University, 1020 Vienna, Austria)

  • Johannes Kasper

    (ASFINAG Maut Service GmbH, 1030 Vienna, Austria)

Abstract

Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast and well-curated data sets for training. In this paper, we present the Austrian Highway Traffic Sign Data Set (ATSD), a comprehensive annotated data set of images of almost all traffic signs on Austrian highways in 2014, and corresponding images of full traffic scenes they are contained in. Altogether, the data set consists of almost 7500 scene images with more than 28,000 detailed annotations of more than 100 distinct traffic sign classes. It covers diverse environments, ranging from urban to rural and mountainous areas, and includes many images recorded in tunnels. We further evaluate state-of-the-art traffic sign detectors and classifiers on ATSD to establish baselines for future experiments. The data set and our baseline models are freely available online.

Suggested Citation

  • Alexander Maletzky & Nikolaus Hofer & Stefan Thumfart & Karin Bruckmüller & Johannes Kasper, 2023. "Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set," Data, MDPI, vol. 8(1), pages 1-15, January.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:1:p:16-:d:1029707
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