Fleet in the Loop: An Open Source approach for design and test of resilient vehicle architectures

D. Grimm, Marc Schindewolf, E. Sax
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引用次数: 1

Abstract

Due to the increasing automation and connectivity of future, software-defined vehicles, the interest in safety and security in this field is growing. In contrast to automated driving functions, which today are only tested and approved for specific operating conditions, the vehicle must be safe and secure in any situation, even if there is a malfunction or intentional manipulation. Resilient software and hardware architectures for vehicles are, therefore, a research topic of growing importance. However, due to the holistic nature of this approach, researching and testing these systems is fraught with challenges. For example, once Machine Learning-based approaches come into play, large amounts of data are required. At the same time, tests of the systems need to take into account the whole vehicle and its ecosystem and be scalable and user-friendly. This work, therefore, presents a new simulation-based method for testing and developing functions for software-defined connected vehicles. The focus is especially on safety and security in combination with cloud services and the consideration of the vehicle fleet. The technologies are presented in detail, relying mainly on the simulator CARLA, the virtualization with Proxmox, and ROS2-based vehicle functions. What differentiates this approach from others is the purely virtual and open-source approach, which increases the availability for others. Results are shown based on early quantitative measures and on outlining two exemplary use cases.
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车队在循环:弹性车辆架构设计和测试的开源方法
由于未来软件定义车辆的自动化程度和连接性越来越高,人们对该领域的安全性和安全性的兴趣也在不断增长。与目前仅针对特定操作条件进行测试和批准的自动驾驶功能相比,车辆必须在任何情况下都是安全可靠的,即使存在故障或故意操纵。因此,车辆的弹性软件和硬件架构是一个日益重要的研究课题。然而,由于这种方法的整体性,研究和测试这些系统充满了挑战。例如,一旦基于机器学习的方法开始发挥作用,就需要大量的数据。同时,系统的测试需要考虑到整个车辆及其生态系统,并具有可扩展性和用户友好性。因此,这项工作提出了一种新的基于仿真的方法来测试和开发软件定义的联网汽车的功能。重点是与云服务和车队考虑相结合的安全性和安全性。详细介绍了这些技术,主要依靠模拟器CARLA、Proxmox虚拟化和基于ros2的车辆功能。这种方法与其他方法的区别在于纯虚拟和开源方法,这增加了其他方法的可用性。结果是基于早期的定量测量和概述两个示例用例而显示的。
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