Abstract
Modern-day autonomous vehicles are increasingly becoming complex multidisciplinary systems composed of mechanical, electrical, electronic, computing and information sub-systems. Furthermore, the individual constituent technologies employed for developing autonomous vehicles have started maturing up to a point, where it seems beneficial to start looking at the synergistic integration of these components into sub-systems, systems, and potentially, system-of-systems. Hence, this work applies the principles of mechatronics approach of system design, verification and validation for the development of autonomous vehicles. Particularly, we discuss leveraging multidisciplinary co-design practices along with virtual, hybrid and physical prototyping and testing within a concurrent engineering framework to develop and validate a scaled autonomous vehicle using the AutoDRIVE ecosystem. We also describe a case-study of autonomous parking application using a modular probabilistic framework to illustrate the benefits of the proposed approach.
Abstract (translated)
当代自动驾驶车辆正在日益成为一个复杂的多学科系统,由机械、电子、电子、计算和信息子系统组成。此外,为开发自动驾驶车辆而使用的 individual 组成技术已经开始成熟,达到一个点,似乎开始考虑将这些组件的协同集成,将它们融入到子系统、系统,甚至 potentially 的系统-of-系统。因此,这项工作适用于自动驾驶车辆系统设计、验证和验证的机械工程方法原则。特别地,我们讨论在并行工程框架内利用多学科合作实践,结合虚拟、混合和物理原型和测试,以开发并验证使用自动驾驶生态系统的大规模自动驾驶车辆。我们还描述了使用模块概率框架的自动驾驶停车应用案例,以说明该方法的优点。
URL
https://arxiv.org/abs/2301.13425
