Collective Perception: A Delay Evaluation With a Short Discussion on Channel Load

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Christoph Pilz;Peter Sammer;Esa Piri;Udo Grossschedl;Gerald Steinbauer-Wagner;Lukas Kuschnig;Alina Steinberger;Markus Schratter
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引用次数: 0

Abstract

Automated vehicles and vehicle-to-everything (V2X) communication open the window for sharing of sensor data. This paper aims to provide a systematic view of the delay chain involved. We implemented collective perception (CP) into two street legal automated driving demonstrators (ADDs) to provide insight into the components’ delay. The implementation allowed us to gather highly accurate Quality of Service (QoS) measurements for V2X communication in practical field environments and to gather a set of delay measurements for a working CP system, accompanied by scalability discussions. The results provide a basis for evaluating the delay impact of single components and the applicability of CP use cases from the perspective of time advantage.
集体感知:一种对信道负荷的延迟评估
自动化车辆和车辆对一切(V2X)通信打开了共享传感器数据的窗口。本文旨在对所涉及的延迟链提供一个系统的观点。我们在两个街道合法自动驾驶示威者(ADDs)中实施了集体感知(CP),以深入了解组件的延迟。该实现使我们能够在实际的现场环境中为V2X通信收集高度准确的服务质量(QoS)测量值,并为工作的CP系统收集一组延迟测量值,同时进行可扩展性讨论。研究结果为从时间优势的角度评估单个组件的延迟影响和CP用例的适用性提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.40
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0.00%
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