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：现代自动驾驶车辆日益成为由机械、电气、电子、计算与信息子系统组成的复杂多学科系统。此外，用于开发自动驾驶车辆的各个组成技术已逐渐成熟至一定程度，此时开始关注这些组件在子系统、系统乃至系统之系统层面的协同集成将大有裨益。因此，本文运用系统设计、验证与确认的机电一体化方法原理，开展自动驾驶车辆的开发工作。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，在并行工程框架下利用AutoDRIVE生态系统开发并验证一款缩比自动驾驶车辆。同时，我们通过一个采用模块化概率框架的自动泊车应用案例研究，展示了所提方法的优势。