Adaptive automotive software ready for next-generation ADAS

18-10-2019 | Wind River technology | Automotive Technologies



Wind River has declared that certification authority TÜV SÜD has authorised an ISO 26262 ASIL-D certification program for its AUTOSAR Adaptive software platform. The software gives a foundation for a next-generation ADAS and autonomous driving systems. The safety certification process is underway at the moment.



“Wind River has worked with TÜV SÜD Rail GmbH to review its ISO 26262 ASIL-D certification program for its AUTOSAR Adaptive software platform,” said Günter Greil, business line manager – generic safety components at TÜV SÜD Rail. “TÜV SÜD Rail assessed the preliminary software safety concept for the software, as well as the Wind River plans and standards to be used, and has determined them to be suitable to fulfil the requirements in accordance to ASIL D ISO 26262:2018.”



“To achieve higher levels of autonomy, we must have a clear view for delivering on functional safety, both at a component and at a system level. Wind River has built its business on how to support customers in safety-critical industries, and managing the complexities associated with certification processes is a core competency of our team,” said Matt Jones, vice president of Systems Architecture and Automotive at Wind River. “It’s not isolated to automotive; we are drawing from decades of experience in safety-critical industries and applying our proven expertise to this certification program. Our work to certify this software platform is a continuation of our legacy of providing comprehensive safety and certification expertise.”



The certification-ready software platform is architected to maintain the highest levels of safety and use the power of the underlying operating conditions, such as the VxWorks RTOS or Wind River Linux, to give a flexible and extensible services-oriented architecture for advanced connected and autonomous vehicle applications. This software platform provides portability of applications and algorithms over any target environment, enabling compute to be placed where it is most productive for the performance of the overall system. The platform will also provide a path to the component and system-level safety required to give confidence at higher levels of vehicle autonomy.


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