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Autonomous Systems Design, Testing, and Deployment: Lessons Learned from The Deployment of an Autonomous Shuttle Bus

机译:自治系统的设计,测试和部署:部署自动穿梭巴士的经验教训

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Advances in technology have enabled the deployment of unprecedented levels of automation that verge on completely autonomous systems such as unmanned passenger and cargo vehicles, and air traffic control supported by integrated communications, navigation and surveillance (ICNS) systems.One application of the new technologies is in autonomous shuttle buses. This paper describes an analysis of a collision between an autonomous shuttle bus and delivery tractor-trailer on an urban street in Las Vegas. The analysis provides lessons learned for the design, testing, and fielding of future autonomous systems. First, the analysis demonstrates the difficulty in designing for all the "corner-cases" for safe fielding of an autonomous system. Second, the analysis shows the difficulty in demonstrating safety compliance to a target level of safety for systems developed using machine learning that cannot be tested using traditional testing methods (e.g. code-inspection or forms of input-output testing. Third, the analysis identifies the need for the explicit, intentional design, not an afterthought, of the task of the "safety driver." Solutions to these three issues are discussed.
机译:技术的进步使部署前所未有的自动化水平成为可能,这些自动化水平完全依靠无人驾驶的客运和货运车辆等完全自动化的系统以及集成通信,导航和监视(ICNS)系统支持的空中交通管制。在自动穿梭巴士中。本文描述了在拉斯维加斯城市街道上的自动穿梭巴士与运输式拖车与拖车之间的碰撞分析。该分析为将来的自治系统的设计,测试和部署提供了经验教训。首先,分析证明了在设计用于自动系统安全部署的所有“拐角案例”时的困难。其次,分析表明难以证明使用机器学习开发的系统无法达到目标安全水平的安全性,而机器学习系统无法使用传统测试方法(例如,代码检查或输入输出测试的形式)进行测试。第三,分析确定了需要对“安全驱动程序”的任务进行明确的,有目的的设计,而不是事后才想到。讨论了这三个问题的解决方案。

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