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US Patent 9542626 Augmenting layer-based object detection with deep convolutional neural networks

Patent 9542626 was granted and assigned to Toyota on January, 2017 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Current Assignee
Toyota
Toyota
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9542626
Date of Patent
January 10, 2017
Patent Application Number
15048757
Date Filed
February 19, 2016
Patent Citations Received
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US Patent 12135564 Obstacle recognition method for autonomous robots
3
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US Patent 11860639 Vehicle-based road obstacle identification system
4
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US Patent 12022805 System and method of counting livestock
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6
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US Patent 11657286 Structure learning in convolutional neural networks
7
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US Patent 11669724 Machine learning using informed pseudolabels
8
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US Patent 11662741 Vehicle visual odometry
9
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US Patent 11676391 Robust correlation of vehicle extents and locations when given noisy detections and limited field-of-view image frames
10
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Patent Primary Examiner
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Samir Ahmed
Patent abstract

By way of example, the technology disclosed by this document receives image data; extracts a depth image and a color image from the image data; creates a mask image by segmenting the depth image; determines a first likelihood score from the depth image and the mask image using a layered classifier; determines a second likelihood score from the color image and the mask image using a deep convolutional neural network; and determines a class of at least a portion of the image data based on the first likelihood score and the second likelihood score. Further, the technology can pre-filter the mask image using the layered classifier and then use the pre-filtered mask image and the color image to calculate a second likelihood score using the deep convolutional neural network to speed up processing.

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