Collective Perception service for Connected Vehicles and Roadside Infrastructure

Ameni Chtourou, Pierre Merdrignac, O. Shagdar
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引用次数: 12

Abstract

Collective Perception Service (CPS) is under standardisation at European Telecommunications Standardisation Institute (ETSI) with the objective of enabling sensor-equipped vehicles and roadside units (RSU) to notify nearby vehicles of the objects detected by their sensors. This service is expected to significantly improve perception of vehicles and, hence, improve road safety. While both vehicles and RSUs can contribute in CPS, they have very different characteristics in terms of mobility, sensor field of view (FOV), communication coverage, processing capacity, and service integration cost. This paper compares CPS provided by vehicles and by RSUs, particularly their impacts on extending vehicles’ perception. We will first develop an analytical model that formulates the number of objects perceived by vehicles and RSUs and the success probability of CPM targeting the IEEE 802.11p technology. The analytical results will then be confirmed by simulation evaluations conducted using the VEINS simulator. The analytical and simulation results reveal that, RSU-assisted CPS significantly outperforms vehicle-assisted CPS, providing up to 8-times higher effective number of perceived objects. The results suggest a great opportunity of optimising radio resource utilisation without degrading collective perception by exploiting roadside infrastructure.
联网车辆与路边基础设施的集体感知服务
集体感知服务(CPS)正在欧洲电信标准化研究所(ETSI)进行标准化,目的是使配备传感器的车辆和路边单元(RSU)能够将传感器检测到的物体通知附近的车辆。这项服务预计将大大提高对车辆的认识,从而改善道路安全。虽然车辆和rsu都可以为CPS做出贡献,但它们在移动性、传感器视场(FOV)、通信覆盖、处理能力和服务集成成本方面具有非常不同的特征。本文比较了车辆和rsu提供的CPS,特别是它们对扩展车辆感知的影响。我们将首先开发一个分析模型,该模型阐述了车辆和rsu感知到的物体数量以及针对IEEE 802.11p技术的CPM的成功概率。然后,分析结果将通过使用vein模拟器进行的模拟评估来确认。分析和仿真结果表明,rsu辅助的CPS明显优于车辆辅助的CPS,提供高达8倍的有效感知对象数量。结果表明,通过利用路边基础设施,在不降低集体感知的情况下,优化无线电资源利用的巨大机会。
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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