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US Patent 11321863 Systems and methods for depth estimation using semantic features

Patent 11321863 was granted and assigned to Toyota Research Institute on May, 2022 by the United States Patent and Trademark Office.

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Patent
Patent
0

Patent attributes

Patent Applicant
Toyota Research Institute
Toyota Research Institute
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Current Assignee
Toyota Research Institute
Toyota Research Institute
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113218630
Patent Inventor Names
Vitor Guizilini0
Rares A. Ambrus0
Jie Li0
Adrien David Gaidon0
Date of Patent
May 3, 2022
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Patent Application Number
168044570
Date Filed
February 28, 2020
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Patent Citations
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US Patent 10088814 System identification and model development
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US Patent 10353271 Depth estimation method for monocular image based on multi-scale CNN and continuous CRF
Patent Primary Examiner
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Jerome Grant, II
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CPC Code
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H04N 13/128
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G06T 2207/20081
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G06T 7/579
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G06T 7/50
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H04N 13/271
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Systems, methods, and other embodiments described herein relate to generating depth estimates of an environment depicted in a monocular image. In one embodiment, a method includes identifying semantic features in the monocular image according to a semantic model. The method includes injecting the semantic features into a depth model using pixel-adaptive convolutions. The method includes generating a depth map from the monocular image using the depth model that is guided by the semantic features. The pixel-adaptive convolutions are integrated into a decoder of the depth model. The method includes providing the depth map as the depth estimates for the monocular image.

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