Skip to main content

Defining an Effective Context for the Safe Operation of Autonomous Systems

  • Conference paper
  • First Online:
Dependable Computing – EDCC 2024 Workshops (EDCC 2024)

Abstract

The safety of a system can only be demonstrated to have been achieved in a defined context. This is true whether it is a ‘traditional’ or autonomous system (AS). For traditional systems, a human is trusted to provide an oversight of operations, and react safely to unexpected scenarios that occur. For AS we cannot necessarily rely on human oversight to handle unexpected events, and must therefore be more confident that all possible hazardous scenarios are understood prior to operation. This makes the task of defining the context of safe operation (CSO) precisely and completely even more important for an AS so that unexpected scenarios can be limited. Attempting to define the CSO completely for an AS operating in a complex open-world environment could be an intractable task. It is therefore imperative that an effective and efficient way to define the CSO for AS can be found.

Existing approaches to defining the CSO for AS are generally seen to be disjoint (in that each of the elements is considered and specified in isolation) and lacking in focus (in that the level of detail is found to be inconsistent and often inappropriate). What is required therefore is a targeted, iterative and integrated approach for defining the CSO for an AS. We provide an example of how this approach can be used to deliver an effective CSO for an autonomous robot.

This work is funded by the Assuring Autonomy International Programme.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Boehm, B.W.: A spiral model of software development and enhancement. Computer 21(5), 61–72 (1988)

    Article  Google Scholar 

  2. Colwell, I., Phan, B., Saleem, S., Salay, R., Czarnecki, K.: An automated vehicle safety concept based on runtime restriction of the operational design domain. In: 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 1910–1917. IEEE (2018)

    Google Scholar 

  3. Czarnecki, K.: Operational design domain for automated driving systems. Taxonomy of Basic Terms, Waterloo Intelligent Systems Engineering (WISE) Lab, University of Waterloo, Canada (2018)

    Google Scholar 

  4. Gyllenhammar, M., et al.: Towards an operational design domain that supports the safety argumentation of an automated driving system. In: 10th European Congress on Embedded Real Time Systems (ERTS 2020) (2020)

    Google Scholar 

  5. Hawkins, R., Osborne, M., Parsons, M., Nicholson, M., McDermid, J., Habli, I.: Guidance on the safety assurance of autonomous systems in complex environments (SACE). arXiv preprint arXiv:2208.00853 (2022)

  6. Hawkins, R., Paterson, C., Picardi, C., Jia, Y., Calinescu, R., Habli, I.: Guidance on the assurance of machine learning in autonomous systems (AMLAS). arXiv preprint arXiv:2102.01564 (2021)

  7. Heyn, H.M., Subbiash, P., Linder, J., Knauss, E., Eriksson, O.: Setting AI in context: a case study on defining the context and operational design domain for automated driving. arXiv preprint arXiv:2201.11451 (2022)

  8. Khastgir, S.: The curious case of operational design domain: what it is and is not? (2020). https://medium.com/@siddkhastgir/the-curious-case-of-operational-design-domain-what-it-is-and-is-not-e0180b92a3ae. Accessed 26 May 2022

  9. Khastgir, S., Birrell, S., Dhadyalla, G., Jennings, P.: Calibrating trust through knowledge: introducing the concept of informed safety for automation in vehicles. Transp. Res. Part C Emerg. Technol. 96, 290–303 (2018)

    Article  Google Scholar 

  10. Koopman, P., Fratrik, F.: How many operational design domains, objects, and events? In: SafeAI@AAAI (2019)

    Google Scholar 

  11. Osborne, M., Hawkins, R., McDermid, J.: Analysing the safety of decision-making in autonomous systems. In: Trapp, M., Saglietti, F., Spisländer, M., Bitsch, F. (eds.) SAFECOMP 2022. LNCS, vol. 13414, pp. 3–16. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-14835-4_1

    Chapter  Google Scholar 

  12. Reddy, N., Farah, H., Huang, Y., Dekker, T., Van Arem, B.: Operational design domain requirements for improved performance of lane assistance systems: a field test study in The Netherlands. IEEE Open J. Intell. Transp. Syst. 1, 237–252 (2020)

    Article  Google Scholar 

  13. SAE: SAE J3016. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (2018)

    Google Scholar 

  14. Ulbrich, S., Menzel, T., Reschka, A., Schuldt, F., Maurer, M.: Defining and substantiating the terms scene, situation, and scenario for automated driving. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 982–988. IEEE (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matt Osborne .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Osborne, M., Hawkins, R. (2024). Defining an Effective Context for the Safe Operation of Autonomous Systems. In: Sangchoolie, B., Adler, R., Hawkins, R., Schleiss, P., Arteconi, A., Mancini, A. (eds) Dependable Computing – EDCC 2024 Workshops. EDCC 2024. Communications in Computer and Information Science, vol 2078. Springer, Cham. https://doi.org/10.1007/978-3-031-56776-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56776-6_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56775-9

  • Online ISBN: 978-3-031-56776-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics