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A Middle Layer Abstraction-Based Open Platform for V2X Safety and Application Study

机译:基于中间层抽象的V2X安全和应用研究的开放平台

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CAV (Connected Autonomous Vehicles) is the future of self-driving and a key milestone towards intelligent transportation system. Vehicle to Everything (V2X) communication enables connections between vehicles and with their surrounding infrastructure, which improves (autonomous) driving safety via information exchange and collaboration. Given the complexity of the communication infrastructure required by V2X and the potential impacts of safety, it is critical to carry out joint studies between the communication and self-driving communities. One of the major gaps is the lack of a good level of open abstraction layer and associated platform for efficient engagements and continued improvements between the two technology domains. In this paper we present an abstraction layer and a common platform infrastructure to facilitate joint studies to overcome some limitations of current approaches. More importantly, we hope the proposed design and platform will enable an open eco-system for all key players to work together and continue to develop new technologies and application scenarios.
机译:CAV(连接的自动车辆)是自动驾驶的未来和智能交通系统的关键里程碑。车辆到一切(V2X)通信使车辆与周围基础设施之间的连接能够通过信息交流和协作来改善(自主)驾驶安全性。鉴于V2X所需的通信基础设施的复杂性以及安全的潜在影响,在沟通和自动驾驶社区之间进行联合研究至关重要。主要差距之一是缺乏良好的开放式抽象层和相关平台,以实现两种技术领域之间的有效参与和继续改进。在本文中,我们提出了一种抽象层和共同的平台基础设施,以促进联合研究来克服当前方法的一些局限性。更重要的是,我们希望拟议的设计和平台将为所有关键播放器开放的Eco-System能够共同努力,并继续开发新技术和应用方案。

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