TECoSA Seminar – Holistic perspectives on safety of Automated Driving Systems

We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time.  All are welcome to attend and we look forward to some lively discussions. Members can accept the Outlook invitations, non-members can email tecosa-admin@kth.se to register.

The recording from this seminar is available here. 

Our November seminar is with Magnus Gyllenhammar, Industrial PHD Student at Zenseact. The seminar will take place at Gladan, KTH. Click here to register for the physical event. It will also be possible to attend via Zoom. 

ABSTRACT: In recent years, enormous investments in Automated Driving Systems (ADSs) have distinctly advanced ADS technologies. Despite promises made by several high profile auto-makers, it has however become clear that the challenges involved for deploying ADS have been drastically underestimated.Contrary to previous generations of automotive systems, common design, development, verification and validation methods for safety critical systems do not suffice to cope with the increased complexity and operational uncertainties of an ADS. In this talk I will present the key findings from a review paper conducted with the aim to provide an understanding of existing methods for providing safety evidence and, in particular, identifying the associated challenges and gaps pertaining to the use of each method. Four categories of methods: design techniques, verification and validation methods, run-time risk assessment, and run-time (self-)adaptation, are presented and the eight challenges (identified in the paper) help provide insights into a selection of the reviewed methods. Finally, the derived set of research gaps will be discussed.

The talk is based on the results of a review paper currently in submission – an early preprint-version of which can be found at: https://www.techrxiv.org/doi/full/10.36227/techrxiv.20331243.v1

BIO: Magnus Gyllenhammar pursues a PhD at KTH Royal Institute of Technology as part of his employment at Zenseact, Gothenburg, Sweden. His research focuses on finding efficient strategies for safety argumentation of ADSs, especially focusing on precautionary safety and dynamic risk assessment in relation to the fulfilment of a quantitative risk norm. He received his MSc. in Engineering Physics, major in Complex Adaptive System, from Chalmers University of Technology, in 2016. In 2018, he joined Zenseact (then Zenuity) and has since worked on creating and realising data-driven strategies for verification and safety argumentation of ADSs.