Scenario-based Risk Analysis: How to quickly compute failure probability in Autonomous Driving
Hinweis: Dieses Webinar findet in englischer Sprache statt.
During the development of the autonomous function (L1 to L5), car manufacturers and suppliers constantly need to evaluate the probability of failure on various scenarios.
But the number of miles to simulate to find the scenarios with possible failure is astronomical! Either the vehicles should be evaluated under many millions of miles of test run or many hours of simulations to find the possible failure scenarios.
In this presentation, we will describe how Ansys solutions enable innovators to quickly compute a probability of failure in a reasonable amount of time versus years of simulation with Monte-Carlo approach. We will illustrate with a critical scenario the value of fast reliability analysis together with accurate physics-based sensor simulation.
By registering or attending the webinar "Scenario-based Risk Analysis: How to quickly compute failure prbability in Autonomous Driving", your personal data will be provided to ANSYS Inc. (a United States company) and representatives may contact you. Ansys Privacy Notice: ansys.com/privacy. Ansys is not affiliated with the host entity.
Dr. Joss Petit, Manager Application Engineer, Ansys
Marco Grosse, Lead Application Engineer, Ansys
Roland Niemeier, Senior Business technical manager
Götz Fuchslocher, Redakteur automotive media network