Together, the experts will explore the learning behaviours of AI systems with the aim of being able to control the systems’ reactions. The main objective is to develop an open platform, known as ‘Genesis’, for OEMs, suppliers and technology companies. The platform will be able to validate artificial intelligence modules and thus provide the basis for certifications.
“TÜV SÜD has been engaged in advancing the safety and public acceptance of technical innovations for over 150 years, and autonomous driving is no exception. We are delighted to be working with the DFKI on making tomorrow’s driving safer and embracing the challenges presented by artificial intelligence”, said Dr. Houssem Abdellatif, Global Head Autonomous Driving at TÜV SÜD.
AI systems are becoming increasingly prevalent in the electronics systems of autonomous vehicles, helping the vehicles to safely master the enormous number of potential traffic situations that may occur – a number that TÜV SÜD’s experts have estimated at 100 million for each fully automated driving function.
Such systems do not react in a deterministic manner, and are thus not exactly predictable; instead, they learn from traffic situations in a process known as ‘deep learning’, and draw their own conclusions to deliver the correct reaction. In other words, they make autonomous decisions.
To ensure their decisions are always favourable to the safety of the traffic around them, TÜV SÜD plans to validate and certify the underlying algorithms.
The aim is for users of the new Genesis platform to upload their data and modules for testing in future; systems that pass will be awarded the appropriate TÜV SÜD certificate for functional safety.
“The industry has shown enormous interest, with many companies already gearing up to take part in Genesis. We are delighted to have TÜV SÜD on board, as a prestigious partner that is synonymous with international vehicle and road safety”, stated Dr. Christian Müller, Head of Team Autonomous Driving ASR & Competence Center Autonomous Driving CCAD at DFKI.