Operational design domain

For other uses of "ODD", see ODD (disambiguation).
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Operational design domain (ODD) is a term for a particular operating context for an automated system, often used in the field of autonomous vehicles. The context is defined by a set of conditions, including environmental, geographical, time of day, and other conditions. For vehicles, traffic and roadway characteristics are included. Manufacturers use ODD to indicate where/how their product operates safely. A given system may operate differently according to the immediate ODD.[1]

The concept presumes that automated systems have limitations.[2] Relating system function to the ODD it supports is important for developers and regulators to establish and communicate safe operating conditions. Systems should operate within those limitations. Some systems recognize the ODD and modify their behavior accordingly. For example, an autonomous car might recognize that traffic is heavy and disable its automated lane change feature. [2]

ODD is used for cars, for ships,[3] trains,[4] agricultural robots,[5] and other robots.

  1. ^ Lee, Chung Won; Nayeer, Nasif; Garcia, Danson Evan; Agrawal, Ankur; Liu, Bingbing (October 2020). "Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk". 2020 IEEE Intelligent Vehicles Symposium (IV). pp. 1317–1322. doi:10.1109/IV47402.2020.9304552. ISBN 978-1-7281-6673-5. S2CID 231599295.
  2. ^ a b Erz, Jannis; Schütt, Barbara; Braun, Thilo; Guissouma, Houssem; Sax, Eric (April 2022). "Towards an Ontology That Reconciles the Operational Design Domain, Scenario-based Testing, and Automated Vehicle Architectures". 2022 IEEE International Systems Conference (SysCon). pp. 1–8. doi:10.1109/SysCon53536.2022.9773840. ISBN 978-1-6654-3992-3. S2CID 248850678.
  3. ^ Yamada, Tomoaki; Sato, Makoto; Kuranobu, Rikiya; Watanabe, Ryo; Itoh, Hiroko; Shiokari, Megumi; Yuzui, Tomohiro (1 July 2022). "Evaluation of effectiveness of the STAMP / STPA in risk analysis of autonomous ship systems". Journal of Physics: Conference Series. 2311 (1): 012021. Bibcode:2022JPhCS2311a2021Y. doi:10.1088/1742-6596/2311/1/012021. S2CID 251344689.
  4. ^ Meng, Zicong; Tang, Tao; Wei, Guodong; Yuan, Lei (January 2021). "Analysis of ATO System Operation Scenarios Based on UPPAAL and the Operational Design Domain". Electronics. 10 (4): 503. doi:10.3390/electronics10040503. ISSN 2079-9292.
  5. ^ Krank, Joshua (2020). "Robo-Crop: The Imminence of Autonomous Technology in Agriculture". Drake Journal of Agricultural Law. 25: 473.