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US Patent 11878720 Method and system for risk modeling in autonomous vehicles

Patent 11878720 was granted and assigned to Zendrive on January, 2024 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Zendrive
Zendrive
1
Current Assignee
Zendrive
Zendrive
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118787201
Patent Inventor Names
Jonathan Matus1
Pankaj Risbood1
Date of Patent
January 23, 2024
1
Patent Application Number
168617231
Date Filed
April 29, 2020
1
Patent Citations
‌
US Patent 7881868 Dual assessment for early collision warning
1
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US Patent 8054168 System and method for estimating an emergency level of a vehicular accident
1
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US Patent 8264375 Method and system for developing traffic messages
1
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US Patent 8290480 System and method for selectively restricting in-vehicle mobile device usage
1
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US Patent 8326257 Utilizing speed and position information to select an operational mode in a wireless communication system
1
‌
US Patent 8352189 Method for generating high resolution surface topology map using surface profiling and surveying instrumentation
1
‌
US Patent 8369876 Mobility management in communication networks
1
‌
US Patent 8395542 Systems and methods for computing vertical position
1
...
Patent Primary Examiner
‌
Behrang Badii
1
CPC Code
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B60W 50/0098
1
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B60W 2050/0075
1
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B60W 2556/10
1
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B60W 2556/50
1
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B60W 60/00188
1
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B60W 60/0053
1
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B60W 60/0059
1
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B60W 50/082
1
...
Patent abstract

A method for adaptive risk modeling for an autonomous vehicle, the method comprising: retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of: a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle; upon generating values, generating a risk analysis with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.

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