论文标题
移交过程中自动驾驶汽车的平稳和低延迟视频流
Smooth and Low Latency Video Streaming for Autonomous Cars during Handover
论文作者
论文摘要
预计自动驾驶汽车将带来许多好处，其中增强了交通效率和可靠性，并降低了燃油消耗，这将产生巨大的经济和环境影响。这项技术的成功在很大程度上取决于其周围实体的全部情况意识。只有在所有网络（包括车辆，用户和基础架构）以及在附近对象之间交换感应的数据以提高其意识，这才能实现。然而，无论如何，在循环中仍然需要人干预以应对看不见的情况或弥补不准确或不正确的车辆的决定。在这种情况下，视频供稿除了其他数据（例如LiDar）外，还被认为是为人类提供最终做出正确决定的真实情况。但是，如果视频没有及时交付，它将变得毫无用处或可能产生灾难性的结果。此外，流媒体视频中的任何中断，例如在交叉操作期间穿越跨越边界时，对用户和可能的ause损害也很烦人。在本文中，我们首先要描述两个重要的用例，即远程驾驶和排，及时交付视频至关重要[1]。此后，我们详细介绍了实施的解决方案，以适应上述自动驾驶车辆的用例。通过在本地和LTE网络中进行的广泛实验，我们表明我们的解决方案可确保端到端的潜伏期非常低。另外，我们表明我们的解决方案可以使视频中断在移交操作过程中尽可能低。
Self-driving vehicles are expected to bring many benefits among which enhancing traffic efficiency and relia-bility, and reducing fuel consumption which would have a great economical and environmental impact. The success of this technology heavily relies on the full situational awareness of its surrounding entities. This is achievable only when everything is networked, including vehicles, users and infrastructure, and exchange the sensed data among the nearby objects to increase their awareness. Nevertheless, human intervention is still needed in the loop anyway to deal with unseen situations or compensate for inaccurate or improper vehicle's decisions. For such cases, video feed, in addition to other data such as LIDAR, is considered essential to provide humans with the real picture of what is hap-pening to eventually take the right decision. However, if the video is not delivered in a timely fashion,it becomes useless or likely produce catastrophic outcomes. Additionally, any disruption in the streamed video, for instance during handover operation while traversing inter-countries cross borders, is very annoying to the user and possibly ause damages as well. In this article, we start by describing two important use cases, namely Remote Driving and Platooning, where the timely delivery of video is of extreme importance [1]. Thereafter, we detail our implemented solution to accommodate the aforementioned use cases for self-driving vehicles. Through extensive experiments in local and LTE networks, we show that our solution ensures a very low end-to-end latency. Also, we show that our solution keeps the video outage as low as possible during handover operation.
