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US Patent 11978266 Occupant attentiveness and cognitive load monitoring for autonomous and semi-autonomous driving applications

Patent 11978266 was granted and assigned to NVIDIA on May, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
NVIDIA
NVIDIA
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Current Assignee
NVIDIA
NVIDIA
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119782660
Patent Inventor Names
Nuri Murat Arar0
Yuzhuo Ren0
Niranjan Avadhanam0
Date of Patent
May 7, 2024
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Patent Application Number
170766900
Date Filed
October 21, 2020
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Patent Citations
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US Patent 8503801 System and method for classifying the blur state of digital image pixels
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US Patent 8554715 Electronic document classification apparatus
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US Patent 8837819 Systems and methods for facilitating identification of and interaction with objects in a video or image frame
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US Patent 8929683 Techniques for registering and warping image stacks
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US Patent 9087297 Accurate video concept recognition via classifier combination
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US Patent 9098751 System and method for periodic lane marker identification and tracking
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US Patent 9373057 Training a neural network to detect objects in images
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US Patent 9623905 Autonomous vehicle navigation based on recognized landmarks
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...
Patent Primary Examiner
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Sam Bhattacharya
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CPC Code
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B60W 40/08
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B60W 50/14
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G06V 20/56
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Patent abstract

In various examples, estimated field of view or gaze information of a user may be projected external to a vehicle and compared to vehicle perception information corresponding to an environment outside of the vehicle. As a result, interior monitoring of a driver or occupant of the vehicle may be used to determine whether the driver or occupant has processed or seen certain object types, environmental conditions, or other information exterior to the vehicle. For a more holistic understanding of the state of the user, attentiveness and/or cognitive load of the user may be monitored to determine whether one or more actions should be taken. As a result, notifications, AEB system activations, and/or other actions may be determined based on a more complete state of the user as determined based on cognitive load, attentiveness, and/or a comparison between external perception of the vehicle and estimated perception of the user.

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