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US Patent 11763678 Early warning and collision avoidance

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Derq
Derq
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11763678
Patent Inventor Names
Amer Abufadel
Ankit Sharma
Karl Jeanbart
Rishabh Choudhary
Georges Aoude
Date of Patent
September 19, 2023
Patent Application Number
17950518
Date Filed
September 22, 2022
Patent Citations
‌
US Patent 8694328 Vehicle customization and personalization activities
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US Patent 9129519 System and method for providing driver behavior classification at intersections and validation on large naturalistic data sets
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US Patent 9214084 Smart traffic sign system and method
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US Patent 7095336 System and method for providing pedestrian alerts
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US Patent 7191097 Method, apparatus, and system for assessing conditions
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US Patent 7304589 Vehicle-to-vehicle communication device and method of controlling the same
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US Patent 7317406 Infrastructure-based collision warning using artificial intelligence
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US Patent 9421909 Vehicle to pedestrian communication system and method
...
Patent Primary Examiner
‌
Sisay Yacob
CPC Code
‌
G08G 1/017
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G08G 1/0141
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G08G 1/052
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G08G 1/093
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G08G 1/096716
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G08G 1/096725
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G08G 1/123
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G08G 1/163
...
Patent abstract

Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection. Current motion data received from the sensor about ground transportation entities at or near the intersection is applied to the machine learning model to predict imminent behaviors of the ground transportation entities. An imminent dangerous situation for one or more of the ground transportation entities at or near the intersection is inferred from the predicted imminent behaviors. The wireless communication device sends the warning about the dangerous situation to the device of one of the ground transportation entities.

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