Designing Autonomous Vehicles for Series Production

Testing autonomous vehicles is seen as increasingly challenging. Autonomous vehicle physical prototypes with human safety-drivers are being questioned as an effective way to prove design reliability of the software and hardware components. Analysts suggest that billions of miles of road testing would be needed to prove autonomous vehicles are safe under all driving scenarios.

How can the automotive industry bring safe and commercially viable autonomous vehicles to market, and how can automakers and their suppliers gain a competitive advantage?

This webinar explains the role of simulation, and how a virtual design environment, with data continuity between different engineering domains, can help engineers solve these challenges. Learn how simulation at various levels — from chips, software algorithms and low-level integrated sub-systems, to the modeling of sensor response to road events and finally to full vehicle-level simulation — together can bridge the gap from autonomous vehicle prototype to series production.

Finally, learn about the importance of integrated design that can trace a digital thread back through the entire design process, ensuring a functionally safe design, and how this systems-driven approach is reducing the amount of physical prototyping and real-world road miles of testing that is required, giving predictable design outcomes faster.