Live Virtual Constructive Environment for Assuring the Safety and Security of Complex Autonomous Vehicles

Bradley Potteiger, T. Dignan, Amber Mills, E. Pavelka, Caleb P. Frey, Ben Nathan, Milki Dagne, Violet Garibaldi, Ben Otter
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Abstract

Autonomous and connected vehicle technologies are rapidly emerging and being introduced to society. Traditional vehicles are becoming more sophisticated with integrated driver-assist features incorporating AI algorithms, control systems, and communication interfaces. Modern vehicles are tightly-coupled into a system of systems more robust than the commonly leveraged physical world simulations used in the research community and industry today. This means that components beyond just the AI model effect the safety and security of operating vehicles. It is imperative to consider the complex and interconnected nature of these systems during pre-deployment development and testing. In this paper, we discuss our preliminary work on a multi-level simulation and hardware-in-the-loop (HITL) testbed capable of evaluating vehicle reactions to diverse driving situations based on virtually constructed worlds. Our framework is able to evaluate vehicle behavior at scale in a simulated world while seamlessly integrating physical hardware via a digital-twin approach.
确保复杂自动驾驶车辆安全的实时虚拟构建环境
自动驾驶和互联汽车技术正在迅速兴起,并被引入社会。传统车辆正变得越来越复杂,集成了人工智能算法、控制系统和通信接口的驾驶辅助功能。现代车辆紧密耦合到一个系统的系统中,比目前研究界和工业界使用的通常杠杆物理世界模拟更健壮。这意味着人工智能模型之外的组件会影响车辆的安全性。在预部署开发和测试期间,必须考虑这些系统的复杂性和相互联系的性质。在本文中,我们讨论了我们在多级仿真和硬件在环(HITL)测试平台上的初步工作,该测试平台能够评估车辆对基于虚拟构建世界的各种驾驶情况的反应。我们的框架能够在模拟世界中大规模评估车辆行为,同时通过数字孪生方法无缝集成物理硬件。
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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