Managing vehicle dynamics simulation for automated driving - Seguridad Mania.com - España y América Latina

 

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.

 

 

- 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

 

 

- 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.