- Patent Title: Systems and methods for depth estimation using semantic features
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Application No.: US16804457Application Date: 2020-02-28
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Publication No.: US11321863B2Publication Date: 2022-05-03
- Inventor: Vitor Guizilini , Rares A. Ambrus , Jie Li , Adrien David Gaidon
- Applicant: Toyota Research Institute, Inc.
- Applicant Address: US CA Los Altos
- Assignee: Toyota Research Institute, Inc.
- Current Assignee: Toyota Research Institute, Inc.
- Current Assignee Address: US CA Los Altos
- Agency: Darrow Mustafa PC
- Agent Christopher G. Darrow
- Main IPC: G06T7/579
- IPC: G06T7/579 ; H04N13/271 ; H04N13/128

Abstract:
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.
Public/Granted literature
- US20210090280A1 SYSTEMS AND METHODS FOR DEPTH ESTIMATION USING SEMANTIC FEATURES Public/Granted day:2021-03-25
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