Sebastian Siegl

After studying computer science Mr Siegl did his phd at AUDI AG about formal specification and verification of embedded systems. From 2011 until 2015 he was in the software development at AUDI AG for automotive functions and coordinator of testing for serial software development. Starting in 2015, Mr Siegl took over the verification and validation strategy and management for driving assistance systems and automated driving at AUDI AG, including the definition and allocation of testing requirements and design of suitable test environments in Software-in-the-loop testing, Hardware-in-the-loop testing and real vehicle testing on public roads and proving grounds. The major aspect is testing the machine perception and interpretationen capabilities.

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Presentation

Evolving PG for the development and validation of AD in different ODDs

Autonomous driving poses a new challenge to the design of proving grounds, as autonomous driving functions evaluate with extensive sensor technology not only the road surface and driving dynamics parameters but also the environment to enable operational design domain-specific features. As a consequence, for function testing under public road conditions, the proving ground tracks and environment must reflect the conditions found on public roads in different ODDs. Another important feature is the enablement of various dynamic scenarios on the test track. Dynamic swarm-based scenarios must be executable, reproducible and safe. For this, the connectivity and communication infrastructure of the participants is needed. This presentation gives insight into the track design, infrastructure, communication and equipment requirements and also solutions for a new type of proving ground for the development and validation of autonomous driving.