Aviation

Our research to support the safe introduction of autonomous systems in aviation covers underlying technical research and work on areas such as unmanned aerial vehicle teams and legal frameworks.

This section pulls together all the research taking place in the aviation domain. It also highlights cross-domain work which will be of use to those working in this sector.

Where possible, a lot of the guidance we publish is intentionally developed to be suitable for use in any domain. You will therefore find key pieces of research below that are suitable for those working in any sector.

Contact us

Assuring Autonomy International Programme
assuring-autonomy@york.ac.uk
+44 (0)1904 325345
Department of Computer Science, Deramore Lane, University of York, York YO10 5GH

Practical guidance

Our methodology for assuring the safety of machine learning for use in autonomous systems (AMLAS) supports work on the assurance of ML components in any system, including those used in aviation.

Download methodology

Body of Knowledge guidance

The guidance in the Body of Knowledge is often generalised, enabling you to learn from research undertaken in other domains. At present we do not have any guidance in the BoK based on research in the aviation domain, so below you can access a number of entries that provide cross-domain guidance. You can also access all Body of Knowledge Guidance.

Demonstrators

We have one demonstrator in the aviation domain, linked below. Our projects extend across a range of sectors and below are some other projects that may be of interest. You can also view all AAIP-funded demonstrator projects.

On the blog

Our other research domains

Learn what research is taking place in other domains that might be transferable to your work.

Contact us

Assuring Autonomy International Programme
assuring-autonomy@york.ac.uk
+44 (0)1904 325345
Department of Computer Science, Deramore Lane, University of York, York YO10 5GH