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European Conference on Software Process Improvement

EuroSPI 2022: Systems, Software and Services Process Improvement pp 161–176Cite as

A Context-Specific Operational Design Domain for Underground Mining (ODD-UM)

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1646))

Abstract

Autonomous and Semi-autonomous Machines (ASAM) can benefit mining operations. However, demonstrating acceptable levels of safety for ASAMs through exhaustive testing is not an easy task. A promising approach is scenario-based testing, which requires the Operational Design Domain (ODD) definition, i.e., environmental, time-off-day, and traffic characteristics. Currently, an ODD specification exists for Automated Driving Systems (ADS), but, as it is, such specification is not adequate enough for describing the mine nuances. This paper presents a context-specific ODD taxonomy called ODD-UM, which is suitable for underground mining operational conditions. For this, we consider the ODD taxonomy provided by the British Publicly Available Specification PAS 1883:2020. Then, we identify attributes included in the standard ISO 17757:2019 for ASAM safety and use them to adapt the original ODD to the needs of underground mining. Finally, the adapted taxonomy is presented as a checklist, and items are selected according to the data provided by the underground mining sector. Our proposed ODD-UM provides a baseline that facilitates considering the actual needs for autonomy in mines by leading to focused questions.

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Acknowledgment

This research has been supported by Vinnova via the project ESCAPE-CD (Efficient Safety for Complex Autonomous Production Environments - Concept Design) Reference: 2021-03662. We thank our industrial partner in the project - Boliden Mineral AB- for the preliminary review of the proposed taxonomy.

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Authors and Affiliations

  1. Mälardalen University, Västerås, 721 23, Sweden

    Julieth Patricia Castellanos-Ardila, Sasikumar Punnekkat, Anas Fattouh & Hans Hansson

Authors
  1. Julieth Patricia Castellanos-Ardila
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  2. Sasikumar Punnekkat
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  3. Anas Fattouh
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  4. Hans Hansson
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Corresponding author

Correspondence to Julieth Patricia Castellanos-Ardila .

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Editors and Affiliations

  1. Gazi University, Ankara, Turkey

    Murat Yilmaz

  2. Dublin City University, Dublin, Ireland

    Paul Clarke

  3. I.S.C.N. GesmbH, Graz, Austria

    Richard Messnarz

  4. Paracelsus Medical University, Salzburg, Austria

    Bruno Wöran

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Castellanos-Ardila, J.P., Punnekkat, S., Fattouh, A., Hansson, H. (2022). A Context-Specific Operational Design Domain for Underground Mining (ODD-UM). In: Yilmaz, M., Clarke, P., Messnarz, R., Wöran, B. (eds) Systems, Software and Services Process Improvement. EuroSPI 2022. Communications in Computer and Information Science, vol 1646. Springer, Cham. https://doi.org/10.1007/978-3-031-15559-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-15559-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15558-1

  • Online ISBN: 978-3-031-15559-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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