Managing vehicle dynamics simulation for automated driving

As we move toward greater vehicle autonomy, automated driving (AD) algorithms have increased interaction with vehicle dynamics, playing a significant role in driving function. In this webinar, you will learn about vehicle dynamics simulation for AD development and the requirements needed for autonomous driving development.

Develop automated driving systems using vehicle dynamics simulation

As AD systems become more complex and strict performance and reliability are required, advanced methodologies and simulation tools for virtual development are essential. For developing these algorithms, it is crucial to have a good understanding and representative modeling of the vehicle dynamics behavior.

Accurately predict the impact of an action on vehicle dynamics

With Simcenter solutions, you can develop vehicle models with the optimal balance between accuracy and complexity by:

• Setting up tire models with the optimal balance between accuracy and complexity
• The parameterization of highly efficient vehicle models based on vehicle measurements
• Incorporating multi-attributes based on an integrated and modular simulation platform

Enable component, system, and vehicle model sharing between teams

Our Simcenter solution enables a common simulation platform for easy-to-model exchange between vehicle performance departments. It allows engineers to have a scalable and modular modeling approach, enabling detailed modeling for specific attribute development and knowledge transfer.

Watch the webinar and discover how to harmonize and standardize your AD development process to increase efficiency and reduce cost and time to market.