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公开(公告)号：US10950130B2
公开(公告)日：2021-03-16
申请号：US15994568
申请日：2018-05-31
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
IPC: G08G1/16 , G06N5/04 , G06N20/00 , G08G1/01 , G08G1/09 , G08G1/017 , G08G1/052 , G08G1/123 , G08G1/005 , G08G1/0967
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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公开(公告)号：US20190325754A1
公开(公告)日：2019-10-24
申请号：US16353956
申请日：2019-03-14
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
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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公开(公告)号：US11688282B2
公开(公告)日：2023-06-27
申请号：US17942484
申请日：2022-09-12
Applicant: DERQ Inc.
Inventor： Nikhil Manohar , Amer Abufadel , Georges Aoude
IPC: G08G1/16
Abstract: Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.
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公开(公告)号：US20230112079A1
公开(公告)日：2023-04-13
申请号：US17942484
申请日：2022-09-12
Applicant: DERQ Inc.
Inventor： Nikhil Manohar , Amer Abufadel , Georges Aoude
IPC: G08G1/16
Abstract: Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.
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公开(公告)号：US20190287402A1
公开(公告)日：2019-09-19
申请号：US15994702
申请日：2018-05-31
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
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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Patent Agency Ranking
公开(公告)号：US20190287395A1
公开(公告)日：2019-09-19
申请号：US16222536
申请日：2018-12-17
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
Abstract: Among other things, data is received from a sensor oriented to monitor ground transportation entities at or near an intersection of a transportation network, and a machine learning model predicts 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 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. A wireless communication device sends a warning about the dangerous situation to one of the ground transportation entities.
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公开(公告)号：US10235882B1
公开(公告)日：2019-03-19
申请号：US15994826
申请日：2018-05-31
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
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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公开(公告)号：US11763678B2
公开(公告)日：2023-09-19
申请号：US17950518
申请日：2022-09-22
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
IPC: G08G1/16 , G08G1/005 , G08G1/01 , G08G1/052 , G08G1/09 , G08G1/0967 , G08G1/123 , G08G1/017 , G06N20/00 , G06N5/046
CPC classification number: G08G1/164 , G06N5/046 , G06N20/00 , G08G1/005 , G08G1/017 , G08G1/0112 , G08G1/0116 , G08G1/0129 , G08G1/0137 , G08G1/0141 , G08G1/052 , G08G1/093 , G08G1/096716 , G08G1/096725 , G08G1/123 , G08G1/163 , G08G1/166 , G08G1/0175
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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公开(公告)号：US11749111B2
公开(公告)日：2023-09-05
申请号：US15994702
申请日：2018-05-31
Applicant: DERQ Inc.
Inventor： Georges Aoude , Amer Abufadel , Karl Jeanbart , Rishabh Choudhary , Ankit Sharma
IPC: G08G1/16 , G06N5/046 , G06N20/00 , G08G1/01 , G08G1/09 , G08G1/017 , G08G1/052 , G08G1/123 , G08G1/005 , G08G1/0967
CPC classification number: G08G1/164 , G06N5/046 , G06N20/00 , G08G1/005 , G08G1/017 , G08G1/0112 , G08G1/0116 , G08G1/0129 , G08G1/0137 , G08G1/0141 , G08G1/052 , G08G1/093 , G08G1/096716 , G08G1/096725 , G08G1/123 , G08G1/163 , G08G1/166 , G08G1/0175
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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公开(公告)号：US20210065551A1
公开(公告)日：2021-03-04
申请号：US16993606
申请日：2020-08-14
Applicant: DERQ Inc.
Inventor： Nikhil Manohar , Amer Abufadel , Georges Aoude
IPC: G08G1/16
Abstract: Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.
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