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US Patent 11417109 Network-based vehicle event detection system

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11417109
Date of Patent
August 16, 2022
Patent Application Number
15926987
Date Filed
March 20, 2018
Patent Citations
‌
US Patent 10643285 Systems and methods for environmental analysis based upon vehicle sensor data
Patent Citations Received
‌
US Patent 11792019 Providing quality of service for certificate management systems
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US Patent 11635960 Processing metadata, policies, and composite tags
0
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US Patent 11705004 Systems and methods for automatically warning nearby vehicles of potential hazards
0
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US Patent 11709680 Systems and methods for policy execution processing
0
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US Patent 11748457 Systems and methods for policy linking and/or loading for secure initialization
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US Patent 11782714 Metadata programmable tags
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US Patent 11875180 Systems and methods for stalling host processor
0
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US Patent 11930365 Recover from vehicle security breach via vehicle to anything communication
0
...
Patent Primary Examiner
‌
Nay Tun
CPC Code
‌
H04L 67/125
‌
G06N 20/00
‌
H04W 4/44
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B60R 25/305

An event detection system for detecting events related to vehicles based on sensor data from the vehicles. An event detection service on a network may receive streams of sensor data from vehicles and apply machine learning techniques to train models and to analyze the data to detect vehicle-related events. Supervised and unsupervised techniques may be used to train the models and to detect known as well as anomalous events. Events may be detected based on data from one or from multiple vehicles. The system may respond to events by alerting entities and/or signaling vehicle control systems to respond to the events. Trained models may be downloaded to vehicles; the vehicle computer systems can then locally detect events. The downloaded models can be further trained on the vehicles, uploaded to the network, and integrated into the network-based models to improve the performance of the models.

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