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Save the date! AI4CCAM webinar on “Detection of the Unknown Unknowns or how to make your Perception Safe” – 15 September 2023
AI4CCAM is pleased to invite you to a new technical webinar on 15 September 2023: Detection of the Unknown Unknowns or how to make your Perception Safe.
The webinar, from 16.30 to 17.30 (CEST), will be held by Ralph Meyfarth, Deepsafety.
Deepsafety is an AI Safety company, solving the fundamental safety problem of Deep Learning AI. The output of such AI systems is undefined for data the AI has never trained before. This is holding back many industries, especially autonomous driving.
Deepsafety is working on advanced AI models for trajectory predictions and residual risk calculation. In AI4CCAM, they will develop a multi-model architecture for predicting movements of Vulnerable Road Users (VRUs) including awareness, uncertainty, and risk measures as input for the subsequent planning instance of the Autonomous Driving System.
Who is Ralph Meyfarth.
Ralph Meyfarth studied computer science at TU Darmstadt and TU Munich. In 1992, he received his doctorate from the Chair of Robotics and Automation at the TU Munich. He then began his career at Siemens, first as an engineer and later as a project manager at Siemens Management Consulting. He was responsible for many projects (e.g. benchmarking, restructuring and innovation) and reported to the Siemens Managing Board. In 1999, he founded the deep-tech startup lesswire for location-based services, which won several innovation awards. Later, he successfully developed lesswire into an automotive Tier1 for connected car services until this business was sold. In 2015, he moved to Chinese Tier1 company Hangsheng, where he was responsible for the German subsidiary and built the R&D center for car connectivity from scratch. In 2020, he joined Deepsafety as co-founder, where he is now COO.
