As one of its regular activities, the Tech Center a-drive organizes workshops on focus topics in the domain of automated driving. This year’s workshop brought together two of the most currently discussed topics:

AI and validation and testing

The recent advances in AI methods pave the way for a broad application of AI methods in automated driving. This raises the question of how such systems can be validated and tested to ensure their proper fit and overall safety in future systems. This year’s workshop again had a mix of overview, hands-on and in-depth presentations. It brought together international experts to discuss the different approaches and needs for validation and testing of trained networks. The talks and presentations focussed on data, quality and quality management, scenario data and new data sets, test metrics and methods for neuronal networks and in-depth discussion of the RSS (Responsibility-Sensitive Safety) as well as on two large projects currently starting to work on these topics in Germany.

The workshop took place in Ulm on 7/11/2019.

Speakers were Arnaud de La Fortelle (ParisTech), Fabian Oboril and Bernd Gassmann (INTEL), Christian Müller (DFKI), Henning Lategahn (atlatec), Andreas Gruber (CMORE) and Cornelia Denk (BMW).