# Towards Mechatronics Approach of System Design, Verification and Validation for Autonomous Vehicles

arXiv: https://arxiv.org/abs/2301.13425 · HTML: https://mlsanity.com/paper/2301.13425/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 Jan 2023.

## Built on by (most cited first, 2 of 2)

- [Towards Validation of Autonomous Vehicles Across Scales using an Integrated Digital Twin Framework](https://mlsanity.com/paper/2402.12670/) (2024)
- [Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem](https://mlsanity.com/paper/2309.10007/) (2023)

## Abstract (arXiv)

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.