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Fail-Operational Safety Architecture for ADAS Systems Considering Domain ECUs
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
In recent years the automotive companies are developing their self-driving technology very rapidly. Most of them want to launch their self-driving vehicles with SAE level 4 at the beginning of 2020. The main goal of the development of self-driving cars is to reduce accidents caused by driver errors. But there are some technological challenges to solve such as increasing of the safety and availability in order to get the acceptance from the customers. The purpose of this research is to investigate the possible fail-operational safety architectures for both conventional systems as powertrain and the entire ADAS processing chain. The solutions show how the redundant system architecture and safety architecture can be created efficiently and diverse redundancy for ADAS systems considering the processing chain from sensors such as camera, radar, lidar, etc. to perception and decision algorithms in order to fulfill the ASIL D safety requirements and to increase the system availability with fail-operational for self-driving vehicles with SAE Level 3 and fully self-driving vehicles with SAE level 4 and level 5.
CitationSari, B. and Reuss, H., "Fail-Operational Safety Architecture for ADAS Systems Considering Domain ECUs," SAE Technical Paper 2018-01-1069, 2018, https://doi.org/10.4271/2018-01-1069.
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