Ansys Presentation
Making Autonomous Vehicles Safer Using Physics-Based Sensor Simulation at Scale
Time: May 25, 2022| 9:10am - 10:00am EDT
Speaker: Emmanuel Follin, Senior Manager Product Management, Ansys
The primary engineering challenge in developing ADAS and Autonomous Vehicles is ensuring that they will operate safely under all situations encountered. Since they are likely to encounter many millions of different driving situations throughout the course of their operation, engineering of ADAS and AVs must comprehensively address the design and validation of their software and hardware components over millions of driving scenarios. This is a massive task involving thousands of engineers working collaboratively at OEMs as well as Tier 1 and 2 suppliers.
With high-fidelity, physics-based simulation of radar, lidar, camera, and other sensors, 1000 times more autonomous vehicle scenarios can be examined than could be assessed through physical road testing. This presentation will explore how to make autonomous driving safer and expedite the design and validation of all aspects of an automated driving system using proven physics solutions [from Ansys], including:
- Bridging the gap between component design and system V&V
- Generating synthetic sensor data for Machine Learning as well as for testing
- Using physics-based Real-Time Radar, Camera and Lidar models within driving scenarios in XiL use-cases
- Reducing field operation testing by using physics-based sensor simulation