Developing Safe and Secure Autonomous Vehicles Across Industries

Presented by

Tony Karam, New Technology Director, ANSYS

About this talk

Autonomous driving systems can only be released to the public after developers have demonstrated their ability to achieve adequately high levels of safety. Today’s hands-off autonomous driving systems are largely built with deep learning algorithms that can be trained to make the right decision for nearly every driving situation. These systems, however, lack the detailed requirements, architecture, and validation that is already being used today in the development of safety-critical systems, such as the control systems of commercial airliners. Road and air testing is clearly an essential part of the development process, but the billions of miles of testing that will be necessary to validate the safety of autonomous driving systems and software is clearly impractical. These challenges can be addressed with a comprehensive and open autonomous vehicle simulation platform that integrates physics, electronics, embedded systems and software to accurately simulate complete autonomous driving systems in a fraction of the time and cost required for physical testing. A platform that spans the simulation of all sensors, including lidars, cameras, radars, and ultrasonic sensors; the multiphysics simulation of physical and electronic components; the analysis of system functional safety; as well as the design and automatic code generation of safety-certified embedded software, will be presented in this webinar Join this webinar to learn more about how to safely design, validate and test your autonomous vehicle, whether it is an automobile, air taxi, or subsea robot.

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