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US Patent 11537811 Enhanced object detection for autonomous vehicles based on field view

Patent 11537811 was granted and assigned to Tesla (company) on December, 2022 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Tesla (company)
Tesla (company)
Current Assignee
Tesla (company)
Tesla (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11537811
Date of Patent
December 27, 2022
Patent Application Number
16703660
Date Filed
December 4, 2019
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
...
Patent Citations Received
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US Patent 11915439 Method and apparatus of training depth estimation network, and method and apparatus of estimating depth of image
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US Patent 11875548 System and method for region of interest window generation for attention based perception
0
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US Patent 11836623 Object detection and property determination for autonomous vehicles
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US Patent 11704902 Field determination for obstacle detection
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Patent Primary Examiner
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Mahendra R Patel
CPC Code
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G06V 20/58
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G06V 10/25
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G05D 2201/0213
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G05D 1/0253
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G05D 1/0251
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G05D 1/0088
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G06K 9/6228
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G06V 10/809
...

Systems and methods for enhanced object detection for autonomous vehicles based on field of view. An example method includes obtaining an image from an image sensor of one or more image sensors positioned about a vehicle. A field of view for the image is determined, with the field of view being associated with a vanishing line. A crop portion corresponding to the field of view is generated from the image, with a remaining portion of the image being downsampled. Information associated with detected objects depicted in the image is outputted based on a convolutional neural network, with detecting objects being based on performing a forward pass through the convolutional neural network of the crop portion and the remaining portion.

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