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US Patent 11003945 Localization using semantically segmented images

Patent 11003945 was granted and assigned to Zoox on May, 2021 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Zoox
Zoox
0
Current Assignee
Zoox
Zoox
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
110039450
Patent Inventor Names
Nathaniel Jon Kaiser0
Derek Adams0
Michael Carsten Bosse0
Date of Patent
May 11, 2021
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Patent Application Number
164199370
Date Filed
May 22, 2019
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Patent Citations Received
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US Patent 11748887 Segmentation using an unsupervised neural network training technique
Patent Primary Examiner
‌
Ali Bayat
0
Patent abstract

Techniques are discussed for determining a location of a vehicle in an environment using a feature corresponding to a portion of an image representing an object in the environment which is associated with a frequently occurring object classification. For example, an image may be received and semantically segmented to associate pixels of the image with a label representing an object of an object type (e.g., extracting only those portions of the image which represent lane boundary markings). Features may then be extracted, or otherwise determined, which are limited to those portions of the image. In some examples, map data indicating a previously mapped location of a corresponding portion of the object may be used to determine a difference. The difference (or sum of differences for multiple observations) are then used to localize the vehicle with respect to the map.

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