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.

翻译：现代自动驾驶汽车正日益成为由机械、电气、电子、计算和信息子系统组成的复杂多学科系统。此外，用于开发自动驾驶汽车的各项独立组成技术已逐渐成熟到一定程度，使得开始关注这些组件在子系统、系统乃至系统之系统中的协同整合变得有益。因此，本研究将机电一体化系统设计、验证与确认的方法原理应用于自动驾驶汽车的开发。具体而言，我们探讨了在多学科协同设计实践中，结合虚拟、混合及物理原型制作与测试，并采用并行工程框架，利用AutoDRIVE生态系统开发和验证一款缩比自动驾驶汽车。我们还描述了一个运用模块化概率框架的自动泊车应用案例研究，以阐明所提出方法的优势。