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Safety Highlights 1-5 of Adaptive Autosar

In our previous blog , we introduced you to the 11 Safety highlights of Adaptive Autosar. In this blog, let us discuss the first 5 highlights. 1. Safety considerations for high performance oriented hardware While CA is targeted to run on Microcontrollers that offer hard real time performance, Adaptive AUTOSAR Platform is targeted to run on complex SOCs with hardware accelerators such as accelerators for advanced graphics processing, deep learning accelerators, DSPs, Multi-cores etc in order to achieve high performance. Obviously, this means that there is a lot of concurrent processing going on. To achieve deterministic execution for Safety functions, AA provides design guidelines for using parallel processing technologies .  An ASIL compliant Hypervisor must be used to partition and isolate the Safety critical aspects of the System from the non-Safety related System. 2. Support for Safe and Secure use of C++ While the CA supports only C language, AP support C++ since it is the language

11 Safety highlights in Adaptive AUTOSAR

  Adaptive AUTOSAR (AA) is the buzz word in the context of highly automated driving (HAD). It is the AUTOSAR consortium’s solution for high performance computing and flexible over-the-air updates in HAD and also other ECUs such as Domain Controllers, Infotainment systems etc.  While Classic AUTOSAR (CA) offers an excellent solution to handle traditional ECUs with deeply embedded software and hard real time requirements, it cannot handle HAD and other such intelligent ECUs because its design does not support the high performance and flexibility requirements of these ECUs. This sprung the need to develop a new platform for such ECUs and thus was born AA. An OEM or Tier-1 chooses AA so that they do not have to reinvent the wheel for an architectural solution for the Intelligent ECUs. Due to the safety criticality of these Intelligent ECUs, AA incorporates several safety aspects as part of its architecture. In this blog, we have highlighted 11 of the key differentiating aspects.  However,