Automotive

Our research to support the safe introduction of autonomous vehicles covers underlying technical research and work from demonstrators on areas such as sensors and shared control.

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

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 autonomous vehicles.

Download methodology

Body of Knowledge guidance

You can access a number of entries in the Body of Knowledge related to the safety assurance of autonomous vehicles below. The guidance in the Body of Knowledge is often generalised, enabling you to learn from research undertaken in other domains. You can also access all Body of Knowledge Guidance.

Demonstrators

A number of AAIP-funded industry projects are in the automotive domain. These are shown below. We have funded projects in a number of other domains and you can also view all of the AAIP-funded demonstrator projects.

Other resources

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