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.
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.
Latest research papers
Here are the most recent papers based on research in the automotive domain. You can also view all of our research papers.
- Calinescu, R., Imrie, C., Mangal, R., Pasareanu, C., Santana, M.A., and Vázquez, G. "Discrete-event controller synthesis for autonomous systems with deep-learning perception components". Available on Arxiv. (February 2022)
- Huang, J.C., and Kurniawati, H "An NCAP-like safety indicator for self-driving cars" (April 2021)
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.
Safety of highly automated driving
In this report, authors Simon Burton and Richard Hawkins explore the challenges involved in assuring the safety of highly automated driving systems. They present a framework for structuring key elements of the argumentation strategy and review the state-of-the-art aligned to each of the elements of the framework.
On the blog
Our other research domains
Learn what research is taking place in other domains that might be transferable to your work.