Future autonomous mobile systems will greatly benefit from cooperation and real-time sensor data exchange using V2X communication. In such applications, wireless communication has to cope with stringent real-time and safety constraints, a huge challenge given the inherently lossy wireless communication with highly dynamic channel and error conditions. To meet the safety and real-time goals, the use of state-of-the-art (5G and 802.11) V2X technologies focuses on reliable exchange of small data objects, as in URLLC. In contrast, reliable low-latency exchange of large data, such as camera frames, has received little attention, despite its predicted benefits in safe perception and cooperation. The LOTUS project, outlined in this paper, exploits the specific properties of large application data objects to develop novel, application-aware mechanisms for low-latency reliable large data exchange on top of existing and future V2X technologies. Evaluation with statistical analysis, simulation, and physical prototypes demonstrates the feasibility of low-latency large data object exchange at unprecedented levels of reliability.

翻译：未来的自主移动系统将极大受益于利用V2X通信实现的协作与实时传感器数据交换。在此类应用中，无线通信必须应对严格的实时性与安全性约束，鉴于无线通信固有的高丢包特性及高度动态的信道与误码条件，这是一项巨大挑战。为达成安全与实时目标，现有先进V2X技术（5G与802.11）的应用聚焦于小数据对象的可靠交换，如URLLC场景所示。相比之下，大型数据（例如相机帧）的可靠低延迟交换虽在安全感知与协作方面具有预期优势，却鲜少受到关注。本文概述的LOTUS项目，通过利用大型应用数据对象的特定属性，在现有及未来V2X技术基础上，开发了面向应用的新型机制，以实现低延迟可靠的大规模数据交换。通过统计分析、仿真与物理原型进行的评估表明，在前所未有的可靠性水平上实现低延迟大规模数据对象交换具有可行性。