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US Patent 10628961 Object tracking for neural network systems

Patent 10628961 was granted and assigned to Qualcomm on April, 2020 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
0
Current Assignee
Qualcomm
Qualcomm
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Date Filed
April 30, 2018
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Date of Patent
April 21, 2020
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Patent Applicant
Qualcomm
Qualcomm
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Patent Application Number
15966396
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Patent Citations Received
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US Patent 12106648 Intrusion movement prediction
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US Patent 11790549 Unsupervised learning of image depth and ego-motion prediction neural networks
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US Patent 11790744 Intrusion movement prediction
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US Patent 11941822 Volumetric sampling with correlative characterization for dense estimation
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US Patent 10733739 Method and system for displaying target image based on robot
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US Patent 10810752 Unsupervised learning of image depth and ego-motion prediction neural networks
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US Patent 11580747 Multi-spatial scale analytics
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US Patent 11030755 Multi-spatial scale analytics
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US Patent 11640668 Volumetric sampling with correlative characterization for dense estimation
0
‌
US Patent 11282158 Method for managing tracklets in a particle filter estimation framework
•••
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10628961
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Patent Primary Examiner
‌
Shefali D Goradia
0

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