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Physics-based sensor models for automated vehicles

On-Demand Webinar | 23 minutes

This on-demand webinar will discuss the place of sensor models in validation of automated driving systems.

Simulating sensor for automated vehicles

The rise of ever more sophisticated driver-assist and automated driving systems brings with it a host of challenges, from increased hardware/software complexity to massive validation and verification cycles to the tension of meeting twin goals of increased agility and traceability. 

In this on-demand webinar, our program lead for autonomous driving and vehicle dynamics, Matthieu Worm, addresses meeting these challenges while balancing market demands for safety, comfort and efficiency. 

Among the topics presented:

  • How a system-of-systems perspective on automated systems enables series production of autonomous vehicles
  • A validation and verification framework that combines simulation, hardware-in-the-loop and eventual field tests on proving grounds
  • The benefits of combining sensor models of varying fidelity in V&V efforts 

Register now to learn more!

Matthieu Worm

Program lead for autonomous driving and vehicle dynamics, Siemens PLM Software