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US Patent 11086319 Generating testing instances for autonomous vehicles

Patent 11086319 was granted and assigned to Aurora (company) on August, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Aurora Innovation
Aurora Innovation
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Current Assignee
Aurora (company)
Aurora (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
110863190
Patent Inventor Names
Jean-Sebastien Valois0
Daniel Munoz0
Date of Patent
August 10, 2021
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Patent Application Number
201902080
Date Filed
February 8, 2019
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Patent Citations Received
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US Patent 11964663 Control of autonomous vehicle based on determined yaw parameter(s) of additional vehicle
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US Patent 11774966 Generating testing instances for autonomous vehicles
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US Patent 11790549 Unsupervised learning of image depth and ego-motion prediction neural networks
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US Patent 11403492 Generating labeled training instances for autonomous vehicles
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US Patent 11933902 Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data
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US Patent 11200359 Generating autonomous vehicle simulation data from logged data
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US Patent 11209821 Labeling autonomous vehicle data
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US Patent 11550061 Control of autonomous vehicle based on environmental object classification determined using phase coherent LIDAR data
...
Patent abstract

Sensor data collected from an autonomous vehicle can be labeled using sensor data collected from an additional vehicle. Labeled sensor data can generate targeted testing instances for a trained machine learning model, where the trained machine learning model is used in generating control signals for an autonomous vehicle. In many implementations, targeted training instances can generate an accuracy value for the trained neural network model. Additionally or alternatively, the sensor suite on the additional vehicle can include a removable hardware pod which can be mounted on a variety of vehicles.

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