Invention Grant
- Patent Title: Data selection based on uncertainty quantification
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Application No.: US17331451Application Date: 2021-05-26
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Publication No.: US11941899B2Publication Date: 2024-03-26
- Inventor: Jonathan Tremblay , Fabio Tozeto Ramos , Yuke Zhu , Anima Anandkumar , Guanya Shi
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Davis Wright Tremaine LLP
- Main IPC: B25J9/16
- IPC: B25J9/16 ; B25J13/08 ; B25J19/02 ; G05B13/02 ; G06F18/214 ; G06K9/00 ; G06N3/04 ; G06N3/045 ; G06T7/73 ; G06V10/75 ; G06V20/64
Abstract:
Apparatuses, systems, and techniques generate poses of an object based on image data of the object obtained from a first viewpoint of the object and a second viewpoint of the object. The poses can be evaluated to determine a portion of the image data usable by an estimator to generate a pose of the object.
Public/Granted literature
- US20220383019A1 DATA SELECTION BASED ON UNCERTAINTY QUANTIFICATION Public/Granted day:2022-12-01
Information query
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