Software architecture and applications for the connected car can process and share a variety of digital content, among which high-definition video and augmented reality (AR) content, toward enhanced driving assistance, navigation and infotainment systems and services. However, several technical challenges need to be overcome to make such systems and services viable and efficient, including dealing effectively with a variety of types of systems, devices and platforms, either installed inside the vehicle or represented by the personal mobile and wearable devices of the drivers and passengers. In this paper, we outline these technical challenges and propose a software solution in the form of an event-based middleware layer by modeling the smart, connected car as a specific type of a smart environment. We employ an adapted version of Euphoria, a recently introduced software architecture for general-purpose smart environments, to implement asynchronous communications among heterogeneous input/output devices inside the vehicle. We also adapt Euphoria to fit into the four-layer infrastructure model of the connected car. We conduct a technical evaluation of the request-response time performance achieved with the Euphoria middleware for streaming digital content from 1 Mbps (360p@30fps) to 32 Mbps (4K@30fps) on various devices, either integrated in the vehicle, not integrated but used inside the vehicle and devices outside the vehicle (the control condition). Our results show effective live streaming achieved for 2K content at 30fps with the 600 Mbps network (i.e., the connected car) and for 4K content at 30fps with the 1.7 Gbps network envisioned for hyper-connected vehicles. These results open up opportunities for high-definition video and AR applications in the automotive industry.

中文翻译：

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超联网汽车中高清视频和增强现实内容交付的实证结果

联网汽车的软件架构和应用程序可以处理和共享各种数字内容，其中包括高清视频和增强现实 (AR) 内容，以增强驾驶辅助、导航和信息娱乐系统和服务。然而，要使此类系统和服务可行且高效，需要克服若干技术挑战，包括有效处理各种类型的系统、设备和平台，这些系统、设备和平台要么安装在车内，要么以个人移动和可穿戴设备为代表。司机和乘客。在本文中，我们概述了这些技术挑战，并通过将智能互联汽车建模为特定类型的智能环境，提出了一种基于事件的中间件层形式的软件解决方案。我们采用了改编版的 Euphoria，最近推出的通用智能环境软件架构，用于实现车内异构输入/输出设备之间的异步通信。我们还调整 Euphoria 以适应联网汽车的四层基础架构模型。我们对使用 Euphoria 中间件实现的请求-响应时间性能进行技术评估，用于在各种设备上以 1 Mbps (360p@30fps) 到 32 Mbps (4K@30fps) 的速度传输数字内容，这些设备要么集成在车辆中，要么未集成，但用于车内和车外设备（控制条件）。我们的结果显示，使用 600 Mbps 网络（即联网汽车）可实现 30fps 的 2K 内容的有效直播，以及为超联网车辆设想的 1.7 Gbps 网络可实现 30fps 的 4K 内容。