Real-Time Innovations announced that AUTOSAR (AUTomotive Open Systems ARchitecture) has released the latest version of the Adaptive Platform, Release 18-10, featuring a full network binding of the Data Distribution Service standard. With the 18-10 release, automotive manufacturers can now implement an AUTOSAR Adaptive framework with DDS and develop highly autonomous systems, such as Level 4 and Level 5 autonomous vehicles.
RTI worked with the AUTOSAR Consortium on the implementation, as both the DDS and AUTOSAR standards contribute to a robust ecosystem for autonomous systems. DDS enables AUTOSAR to fully support highly autonomous systems with a production-ready communication framework that delivers the reliability, scalability and performance needed for these complex systems.
The AUTOSAR Adaptive Platform is a software standard designed to meet the increasing technology demands of new automotive applications. DDS is being rapidly adopted by Automotive Original Equipment Manufacturers as a framework to solve complex requirements in Level 4 and Level 5 autonomous systems. With the AUTOSAR 18-10, customers can now implement an AUTOSAR Adaptive Framework with DDS. AUTOSAR 18-10 helps solve a number of safety and connectivity challenges that OEM software development teams face in supporting affordable, premium and luxury model vehicles. It enables developers to configure the platform dynamically to support the various operating modes and hardware capabilities of each car platform.
In the AUTOSAR Adaptive platform, the DDS components are optimized for end-to-end data sharing with little to no custom integration required. As a result, the DDS-based technology eliminates complex integration and security challenges for OEMs by providing a data-centric interoperable framework that supports all of the operating systems and processor architectures commonly used by OEMs and their suppliers. Auto manufacturers can also leverage other technologies outside of the AUTOSAR specification including cloud-based and back-end systems, as well as additional components that are common within the automotive industry, such as MatLab and Simulink as well as DSpace, Linux and QNX platforms.