Developing Safe and Secure Autonomous Vehicles Across Industries

On-demand webcast:
Aired live: October 22, 2019 11:00 AM EDT

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.

Tony Karam, New Technology Director, ANSYS

Tony directs the Sales and Support organization in the Americas to grow the ANSYS New Technologies around Electrification, Autonomous, Additive and Material Science and represents ANSYS at the FACE and Vertical Lift Consortiums. He has a Bachelor of Science Electrical - Engineering from the University of Connecticut and a Master of Science Computer & Systems Engineering from Rensselaer.

Brandon Lewis, OpenSystems Media
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