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:现代自主车辆正日益成为由机械、电气、电子、计算和信息分系统组成的复杂多学科系统,此外,开发自主车辆所使用的个别构成技术已开始成熟到一个阶段,开始研究将这些部件协同整合到分系统、系统和潜在的系统系统,似乎是有益的,因此,这项工作采用了系统设计、核查和验证的机械学方法原则,以开发自主车辆。特别是,我们讨论利用多学科共同设计做法,同时在并行的工程框架内进行虚拟、混合和物理原型和测试,以开发和验证使用自动驱动生态系统的大规模自主车辆,我们还介绍了利用模块性概率框架进行自动停车应用的案例研究,以说明拟议办法的益处。