In level 2 automated cars, functioning breaks are currently present. New systems must be evaluated in a broad range of difficult scenarios in order to boost automation while assuring all-around safety. There are several disadvantages to validating these systems on real cars, including the time required to drive millions of kilometers, the danger involved in particular circumstances, and the high expense. Platforms for simulation show up as a suitable solution. In order to evaluate autonomous driving maneuvers and control methods, strong and trustworthy virtual environments are required. To that end, this study offers strategies which are created, adjusted, and verified using a custom simulation framework before being implemented in a real vehicle. A multibody vehicle model is used to calculate the simulation's dynamics. The usefulness of the suggested approach for creating and verifying longitudinal controllers for actual automated vehicles is demonstrated by a comparison of outcomes.
Longitudinal Control for closed loop simulation of Autonomous driving Vehicle
2023-03-01
748296 byte
Conference paper
Electronic Resource
English
Longitudinal vehicle following control for autonomous driving
Automotive engineering | 1996
|Longitudinal Vehicle Following Control for Autonomous Driving
British Library Conference Proceedings | 1996
|Method for closed-loop control of longitudinal acceleration of electric vehicle
European Patent Office | 2023
|Autonomous neural longitudinal vehicle control trained on human driving examples
Automotive engineering | 1995
|