Ralph Grewe

Dr Ralph Grewe started his career at Continental in 2011 with a PhD position in the field of environment modeling at the advanced engineering of systems and technology facility in Lindau. In 2014 he moved to Continental Frankfurt where he took over the position as group leader for perception and environment model in 2016. In 2018 he became the domain owner and in 2022 product owner for CEM and localization domains in the automated driving program. Today he is release train architect at innovation line driverless.

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Presentation

Evaluating end-to-end AD for the real world

Building a fully trainable AD stack is a promising approach to efficiently build and scale an AD system. Transformer neural networks using tokenization of diverse information into a common representation and attention mechanisms to efficiently combine data in time and space foster understandable and flexible end-to-end architectures. An enabler to follow the fast-evolving research in end-to-end is a toolchain allowing quick application of such architectures from training over simulation into closed-loop real-world vehicles. The presentation gives an overview of the toolchain and presents insights gained from tests in simulation and closed-loop applications in the real world.