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Dependability overview for autonomous vehicles and reliability analysis for basic safety messages

机译:自动驾驶汽车的可靠性概述和基本安全信息的可靠性分析

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Autonomous Vehicles (AV) communications promise to increase roadway safety by providing each vehicle with 360-degree situational awareness of other vehicles in proximity, and by complementing On Board Unit (OBU) and sensors such as radar or camera in detecting imminent crash scenarios. These vehicles provide communication services among one another (V2V) or with Road Side Infrastructure (V2I). Vehicular Ad Hoc Networks (VANETs) employ multichannel to provide a variety of safety and non-safety applications. Safety applications necessitate appropriate and reliable transmissions, while non-safety applications require performance and high speed. Broadcasting of Basic Safety Messages (BSM) is one of the fundamental services in today's autonomous vehicles. With the excitement related to the revolution in technology comes the challenge to make these systems dependable to ensure the safety of the consumer and the public. We focused in this paper, on the reliability of AV as a whole. Our scientific approach was structured with methods that combine qualitative approaches and quantitative methods based on the data published by the California Department of Motor Vehicles concerning the accidents and the disengagement reports of AV. Evaluating these problems leads to a sensitivity analysis related to reliability parameters, which helps further innovation in vehicle automation and automobile engineering. Moreover, an analytical model for the reliability of BSM communication was proposed.
机译:自动驾驶汽车(AV)通讯有望通过为每辆汽车提供360度左右其他附近车辆的态势感知,并通过补充车载单元(OBU)和传感器(例如雷达或摄像头)来检测即将发生的碰撞情况,从而提高道路安全性。这些车辆相互之间(V2V)或与路边基础设施(V2I)提供通信服务。车载自组织网络(VANET)使用多通道来提供各种安全和非安全应用。安全应用需要适当而可靠的传输,而非安全应用则需要性能和高速。广播基本安全消息(BSM)是当今自动驾驶汽车的基本服务之一。随着技术革命的兴奋,随之而来的挑战是使这些系统可靠以确保消费者和公众的安全。在本文中,我们将重点放在整个AV的可靠性上。我们的科学方法是基于结合了定性方法和定量方法的方法而构建的,这些方法基于加利福尼亚汽车部门发布的有关事故和AV脱离报告的数据。对这些问题进行评估可得出与可靠性参数有关的灵敏度分析,这有助于车辆自动化和汽车工程学的进一步创新。此外,提出了BSM通信可靠性的分析模型。

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