Navigating the Virtual Road to Autonomous Driving: Using Simulations to Test, Train, and Validate Autonomous Vehicles [CC]

    Navigating the Virtual Road to Autonomous Driving: Using Simulations to Test, Train, and Validate Autonomous Vehicles [CC]
    CLE 90 min

    Navigating the Virtual Road to Autonomous Driving: Using Simulations to Test, Train, and Validate Autonomous Vehicles [CC]

    TIPS Free Member Monday Series

    Our expert panalist will examine how stimulations work, the advantages of using virtual reality for AV development and testing the data that is used and generated by stimulations.

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    Closed Captioned.

    The pandemic has highlighted the benefits of, and need for, autonomous vehicles (AVs). The path to satisfying regulators and the American public that these vehicles are as safe as, or safer than, human drivers, remains unclear. It’s estimated that AVs will need to drive 11 billion miles in order to reach the same error rate as human drivers. Since this is impractical, simulations are being used to test and teach AVs in highly realistic virtual environments. These simulations have the advantage of enabling automakers to train AV systems on edge cases generated by artificial intelligence - situations that rarely, if ever, happen, and that could be prohibitively dangerous to create and test on roads with human drivers.

    Product Details

    Moderators

    Gail L Gottehrer

    Panelists

    Justin S Daniels, Richard C Kelley, Ronald J Hedges

    Product Code

    IL2010AUTOLITOLC

    Duration

    90

    Publication Date

    10/19/2020 12:00:00 AM

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