Invention Grant
- Patent Title: System and method for estimating depth uncertainty for self-supervised 3D reconstruction
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Application No.: US17734899Application Date: 2022-05-02
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Publication No.: US11783541B2Publication Date: 2023-10-10
- Inventor: Vitor Guizilini , 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: SEYFARTH SHAW LLP
- Main IPC: G06T17/05
- IPC: G06T17/05 ; G06T7/55 ; G06T5/00 ; G06N3/08 ; G06N3/04

Abstract:
A method for three-dimensional (3D) scene reconstruction by an agent includes estimating an ego-motion of the agent based on a current image from a sequence of images and a previous image from the sequence of images. Each image in the sequence of images may be a two-dimensional (2D) image. The method also includes estimating a depth of the current image via a depth estimation model comprising a group of encoder layers and a group of decoder layers. The method further includes generating a 3D reconstruction of the current image based on the estimated ego-motion and the estimated depth. The method still further includes controlling an action of the agent based on the 3D reconstruction.
Public/Granted literature
- US20220262068A1 SYSTEM AND METHOD FOR ESTIMATING DEPTH UNCERTAINTY FOR SELF-SUPERVISED 3D RECONSTRUCTION Public/Granted day:2022-08-18
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