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公开(公告)号:US11450204B2
公开(公告)日:2022-09-20
申请号:US17108755
申请日:2020-12-01
Applicant: Verizon Patent and Licensing Inc.
Inventor: John A. Turato , Stephane Chaysinh , Brian Peebles , Neha Yadav , Matthew W. Turlington
IPC: G08G1/056 , G08G1/04 , G08G1/017 , G06K9/62 , G06N20/00 , G07C5/00 , G06Q50/26 , G06Q10/10 , G06Q50/20 , G06Q40/08 , G01H9/00 , G01V8/24 , G09B19/16 , H04B10/073 , G06V20/54 , B60K28/00
Abstract: A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.
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公开(公告)号:US11769403B2
公开(公告)日:2023-09-26
申请号:US17823543
申请日:2022-08-31
Applicant: Verizon Patent and Licensing Inc.
Inventor: John A. Turato , Stephane Chaysinh , Brian Peebles , Neha Yadav , Matthew W. Turlington
IPC: G08G1/056 , G08G1/04 , G08G1/017 , G06N20/00 , G07C5/00 , G06Q50/26 , G06Q10/1093 , G06Q50/20 , G06Q40/08 , G01H9/00 , G01V8/24 , G09B19/16 , H04B10/073 , G06V20/54 , G06F18/214 , B60K28/00
CPC classification number: G08G1/056 , G01H9/004 , G01V8/24 , G06F18/2148 , G06N20/00 , G06Q10/1093 , G06Q40/08 , G06Q50/205 , G06Q50/265 , G06V20/54 , G07C5/008 , G08G1/017 , G08G1/04 , G09B19/167 , H04B10/073 , B60K28/00
Abstract: A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.
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