Legacy AD/ADAS development from OEMs centers around developing functions on ECUs using services provided by AUTOSAR Classic Platform (CP) to meet automotive-grade and mass-production requirements. The AUTOSAR CP couples hardware and software components statically and encounters challenges to provide sufficient capacities for the processing of high-level intelligent driving functions, whereas the new platform, AUTOSAR Adaptive Platform (AP) is designed to support dynamically communication and provide richer services and function abstractions for those resource-intensive (memory, CPU) applications. Yet for both platforms, application development and the supporting system software are still closely coupled together, and this makes application development and the enhancement less scalable and flexible, resulting in longer development cycles and slower time-to-market. This paper presents a multi-layered, service-oriented intelligent driving operating system foundation (we named it as Digital Foundation Platform) that provides abstractions for easier adoption of heterogeneous computing hardware. It features a multi-layer SOA software architecture with each layer providing adaptive service API at north-bound for application developers. The proposed Digital Foundation Platform (DFP) has significant advantages of decoupling hardware, operating system core, middle-ware, functional software and application software development. It provides SOA at multiple layers and enables application developers from OEMs, to customize and develop new applications or enhance existing applications with new features, either in autonomous domain or intelligent cockpit domain, with great agility, and less code through re-usability, and thus reduce the time-to-market.
翻译:利用AUTOSAR经典平台(CP)提供的服务,开发电子计算单位的功能,从而满足汽车级和大规模生产要求; AUTOSAR CP 组合硬件和软件组件静态地应对挑战,为处理高层次智能驾驶功能提供足够能力,而新的平台AUTOSAR适应平台(AP)旨在支持动态通信,为这些资源密集型(模拟、CPU)应用程序提供更丰富的服务和功能抽象化;然而,平台、应用程序开发和辅助系统软件仍然紧密结合,使得应用程序开发和增强能力不那么可伸缩和灵活,导致发展周期更长,时间到市场的时间更慢。 该文件提供了一个多层次、面向服务的智能驱动操作系统基础(我们称之为数字基础平台),为更方便采用混合计算机硬件提供了抽象信息。 它为应用程序开发者提供了多层次的智能SOA软件结构提供适应性服务。 拟议的数字基础平台(DFP)具有显著的优势,从而使得内部应用特征和增强内部应用,从而使得内部应用系统(ODRA)的自动化和内部应用能够通过高级软件升级的硬件,从而降低现有硬件和内部应用。