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US Patent 12065153 Resolving vehicle issues based on log data

Patent 12065153 was granted and assigned to Zoox on August, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Zoox
Zoox
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Current Assignee
Zoox
Zoox
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120651530
Patent Inventor Names
Eleanor Pence0
Qifei Yu0
James Howard Woodyatt0
Jacob Lee Askeland0
Date of Patent
August 20, 2024
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Patent Application Number
175535470
Date Filed
December 16, 2021
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Patent Citations
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US Patent 11358601 Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data
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US Patent 11386776 Managing a driving condition anomaly
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US Patent 11403492 Generating labeled training instances for autonomous vehicles
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US Patent 11628788 Vehicle accident management using peer-to-peer networks and systems
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US Patent 11425337 Camera system, event recording system and event recording method
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US Patent 9972054 Accident fault determination for autonomous vehicles
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US Patent 10796572 Automated map anomaly detection and update
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US Patent 11022971 Event data recordation to identify and resolve anomalies associated with control of driverless vehicles
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...
Patent Primary Examiner
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Kevin R Steckbauer
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Patent abstract

Techniques for identifying and triaging issues associated with a vehicle in order to resolve the issues are described. The techniques may include receiving log data associated with a vehicle and generating an event timeline based at least in part on the log data. The event timeline may comprise a time-ordered record of events associated with operations of the vehicle. The techniques may also include identifying, based at least in part on an event included in the event timeline, a first occurrence of an issue associated with the vehicle. In some instances, a correlation may be determined between the first occurrence of the issue and a second occurrence of the issue, and a cause of the issue may also be determined based at least in part on the correlation. In some examples, the second occurrence of the issue may appear in the event timeline or another event timeline.

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