Training, testing, and verifying autonomous machines using simulated environments

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12182694
APP PUB NO 20230004801A1
SERIAL NO

17898887

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Abstract

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In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

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Patent Owner(s)

  • NVIDIA CORPORATION

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Auld, David Saratoga, US 26 673
Beeson, Curtis Irwin, US 3 123
Campbell, Matthew Surf City, US 65 301
Cox, Michael Menlo Park, US 74 1602
Daly, Mark Eagle, US 23 200
Delaunay, Claire Menlo Park, US 6 164
Farabet, Clement Mill Valley, US 7 501
Heinrich, Greg Nice, FR 9 177
Hicok, Gary Mesa, US 15 659
Lebaredian, Rev Los Gatos, US 24 366
Tamasi, Tony Portola Valley, US 13 240
Taylor, Zachary Santa Cruz, US 48 985
Zedlewski, John San Francisco, US 21 850

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