Invention Grant
- Patent Title: Using a multimode neural network to determine a representation of a spatial structure objects in an image
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Application No.: US16898541Application Date: 2020-06-11
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Publication No.: US11783591B2Publication Date: 2023-10-10
- Inventor: Sudeep Pillai , Vitor Guizilini , Rares A. Ambrus , 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: G06V20/56
- IPC: G06V20/56 ; G06N3/08 ; G06F18/214 ; G06N3/045 ; B60W60/00 ; G06V10/82

Abstract:
A representation of a spatial structure of objects in an image can be determined. A mode of a neural network can be set, in response to a receipt of the image and a receipt of a facing direction of a camera that produced the image. The mode can account for the facing direction. The facing direction can include one or more of a first facing direction of a first camera disposed on a vehicle or a second facing direction of a second camera disposed on the vehicle. The neural network can be executed, in response to the mode having been set, to determine the representation of the spatial structure of the objects in the image. The representation of the spatial structure of the objects in the image can be transmitted to an automotive navigation system to determine a distance between the vehicle and a specific object in the image.
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