Framework for safety assessment of autonomous driving functions up to SAE level 5 by self-learning iteratively improving control loops between development, safety and field life cycle phases

Ivo Häring,Florian Lüttner, Andreas Frorath, Miriam Fehling-Kaschek, Katharina Ross,Thomas Schamm,Steffen Knoop,Daniel Schmidt, Andreas Schmidt, Yang Ji, Zhengxiong Yang, Armin Rupalla, Frank Hantschel,Michael Frey, Norbert Wiechowski,Christian Schyr,Daniel Grimm,Marc René Zofka,Alexander Viehl

2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)(2021)

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摘要
Safety verification and validation of autonomous driving functions up to SAE level 5 pose enormous challenges for car manufacturers. The paper argues that efficient improvement opportunities arise by suitably combining iterative development and verification processes that use self-learning approaches and well-defined quality and convergence criteria within a conceptual framework. The following cyc...
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关键词
Training,Couplings,Conferences,Process control,Machine learning,Learning (artificial intelligence),Safety
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