Martin Kollenrott

Martin Kollenrott's academic journey began with degrees in physics and economics from the University of Ulm, followed by a PhD in finite element analysis. His career took him to the gas turbine sector in Switzerland before transitioning to the automotive industry at Continental. There, he held several roles as an architect, project manager and line manager, playing a key part in developing advanced driver assistance systems (ADAS), including rearview cameras and sensor fusion systems, as well as leading the simulation architecture. For the last two years, Kollenrott has served as the worldwide tech lead for autonomous mobility at Amazon Web Services (AWS), spearheading cutting-edge solutions in the field of self-driving vehicles.

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Presentation

vISP-in-the-loop: developing better perception stacks through cloud-to-car environmental parity

Increasing levels of driving automation in more complex ODDs demand effective ways to continuously develop and verify software across millions of virtual miles and thousands of driving scenarios. As a result, scalable MLOps and DevOps have become the engineering foundations underpinning those at the leading edge of AD technology. In this presentation, Arm and AWS join forces to discuss how cloud-to-car environmental parity can enable better testing coverage and faster time-to-market across the industry. Based on a practical SOAFEE-based case study, the presenters will explore the impact of adding the image signal processor (ISP) model into the virtual perception pipeline, and how a similar methodology can benefit OEMs, Tier 1 suppliers and AD software vendors.