Managing vehicle dynamics simulation for automated driving

Implement a scalable and modular modeling approach

As we move toward greater vehicle autonomy, we see that autonomous driving (AD) algorithms have increased interaction with vehicle dynamics, playing a significant role in the driving function. For the development of these algorithms, it is essential to have a good understanding and representative modeling of the vehicle dynamics behavior. As these systems become more complex and strict performance and reliability are required, advanced methodologies and simulation tools for virtual development are essential. This webinar outlines the vehicle dynamics simulation requirements in the context of autonomous driving.

In this webinar about vehicle dynamics simulation for AD development you will learn how to:

Handle and manage vehicle dynamics simulation in the context of autonomous driving, including:

• Developing vehicle models with the optimal balance between accuracy and complexity
• 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

Key benefits: How to develop your AD systems using vehicle dynamics simulation

• Common simulation platform allowing easy to model exchange between departments (powertrains / chassis / tire) 
• Scalable and modular modeling approach, enabling detailed modeling for specific attribute development 
• Customized development methodology and knowledge, including knowledge transfer

The combination of these benefits will allow you to harmonize and standardize your development process, increasing efficiency, and reduce cost and time to market.