The Vehicle Testing Based on Digital Twins Theory for Autonomous Vehicles
Zhangjie Meng, Shulian Zhao, Hua Chen, Mengxia Hu, Yichao Tang, Yongxiong Song
Abstract
Digital twins theory can provide an effective solution for the complex whole vehicle testing, which includes the dynamics and scenarios. The parallel system is the most advanced method for implementing parallel control theory. In this paper, it introduces the virtual systems established by digital modeling the autonomous driving vehicle and scenario, it introduces a connection between virtual system and the real system. There are two engineering applications based on digital twins and parallel intelligence to test the whole vehicle efficiently,its testing advantages and testing coverage.
Topics & Concepts
Computer scienceSimulationControl engineeringEngineeringReal-time simulation and control systemsAutonomous Vehicle Technology and SafetyVehicle Dynamics and Control Systems