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Thread: Self-driving cars, Nvidia Corporation, Santa Clara, California, USA

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    NVIDIA AI car demonstration

    Published on Sep 28, 2016

    In contrast to the usual approach to operating self-driving cars, we did not program any explicit object detection, mapping, path planning or control components into this car. Instead, the car learns on its own to create all necessary internal representations necessary to steer, simply by observing human drivers.

    The car successfully navigates the construction site while freeing us from creating specialized detectors for cones or other objects present at the site. Similarly, the car can drive on the road that is overgrown with grass and bushes without the need to create a vegetation detection system. All it takes is about twenty example runs driven by humans at different times of the day. Learning to drive in these complex environments demonstrates new capabilities of deep neural networks.

    The car also learns to generalize its driving behavior. This video includes a clip that shows a car that was trained only on California roads successfully driving itself in New Jersey.

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    NVIDIA DRIVE Autonomous Vehicle Platform

    Published on Oct 10, 2017

    Watch the NVIDIA DRIVE Autonomous Vehicle Platform in action, with examples of deep learning perception, LIDAR perception, egomotion, localization to HD map, path planning and more.

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    320+ partners developing on NVIDIA DRIVE

    Published on Jan 12, 2018

    At CES 2018, we joined many of our partners on the show floor to learn about the latest autonomous driving innovations. For more information on our partner ecosystem, visit our website:

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    NVIDIA DRIVE—GTC 2018 Demonstration

    Published on Mar 28, 2018

    At this year’s GPU Technology Conference, NVIDIA illustrated some of its AI building blocks for self-driving cars and an autonomous drive through city streets and onto a highway.

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