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US Patent 11487288 Data synthesis for autonomous control systems

Patent 11487288 was granted and assigned to Tesla (company) on November, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Tesla (company)
Tesla (company)
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Current Assignee
Tesla (company)
Tesla (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
114872880
Patent Inventor Names
Anting Shen0
Harsimran Singh Sidhu0
Paras Jagdish Jain0
Forrest Nelson Iandola0
Donald Benton MacMillen0
Date of Patent
November 1, 2022
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Patent Application Number
168952040
Date Filed
June 8, 2020
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Patent Citations
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US Patent 10167800 Hardware node having a matrix vector unit with block-floating point processing
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US Patent 10169680 Object identification and labeling tool for training autonomous vehicle controllers
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US Patent 10192016 Neural network based physical synthesis for circuit designs
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US Patent 10216189 Systems and methods for prioritizing object prediction for autonomous vehicles
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US Patent 10228693 Generating simulated sensor data for training and validation of detection models
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US Patent 10242293 Method and program for computing bone age by deep neural network
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US Patent 10248121 Machine-learning based autonomous vehicle management system
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US Patent 10262218 Simultaneous object detection and rigid transform estimation using neural network
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Patent Citations Received
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US Patent 12020476 Data synthesis for autonomous control systems
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Patent Primary Examiner
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Aaron L Troost
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CPC Code
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G06F 30/20
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G06F 30/15
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G06K 9/6257
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G06K 9/6268
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G06V 20/58
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G06V 10/82
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B60R 11/04
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G05D 2201/0213
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An autonomous control system generates synthetic data that reflect simulated environments. Specifically, the synthetic data is a representation of sensor data of the simulated environment from the perspective of one or more sensors. The system generates synthetic data by introducing one or more simulated modifications to sensor data captured by the sensors or by simulating the sensor data for a virtual environment. The autonomous control system uses the synthetic data to train computer models for various detection and control algorithms. In general, this allows autonomous control systems to augment training data to improve performance of computer models, simulate scenarios that are not included in existing training data, and/or train computer models that remove unwanted effects or occlusions from sensor data of the environment.

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