公开(公告)号：US20230186769A1

公开(公告)日：2023-06-15

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 ,  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 ,  G08G1/166 ,  G08G1/0116 ,  G08G1/0141 ,  G08G1/093 ,  G08G1/017 ,  G08G1/0137 ,  G08G1/052 ,  G08G1/123 ,  G08G1/0129 ,  G08G1/163 ,  G08G1/0112 ,  G08G1/005 ,  G08G1/096716 ,  G08G1/096725 ,  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.

公开(公告)号：US20230005371A1

公开(公告)日：2023-01-05

申请号：US17671681

申请日：2022-02-15

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.

公开(公告)号：US20210375138A1

公开(公告)日：2021-12-02

申请号：US17087192

申请日：2020-11-02

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.

公开(公告)号：US11276311B2

公开(公告)日：2022-03-15

申请号：US17087192

申请日：2020-11-02

Applicant: DERQ Inc.

Inventor： Georges Aoude ,  Amer Abufadel ,  Karl Jeanbart ,  Rishabh Choudhary ,  Ankit Sharma

IPC: G08G1/005 ,  G08G1/16 ,  G06N5/04 ,  G06N20/00 ,  G08G1/01 ,  G08G1/09 ,  G08G1/017 ,  G08G1/052 ,  G08G1/123 ,  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.

公开(公告)号：US11257371B2

公开(公告)日：2022-02-22

申请号：US16879442

申请日：2020-05-20

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.

公开(公告)号：US11257370B2

公开(公告)日：2022-02-22

申请号：US15994850

申请日：2018-05-31

Applicant: DERQ Inc.

Inventor： Georges Aoude ,  Amer Abufadel ,  Karl Jeanbart ,  Rishabh Choudhary ,  Ankit Sharma

IPC: G08G1/16 ,  G08G1/01 ,  G08G1/09 ,  G06N5/04 ,  G06N20/00 ,  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.

公开(公告)号：US10565880B2

公开(公告)日：2020-02-18

申请号：US16222536

申请日：2018-12-17

Applicant: DERQ Inc.

Inventor： Georges Aoude ,  Amer Abufadel ,  Karl Jeanbart ,  Rishabh Choudhary ,  Ankit Sharma

IPC: G08G1/01 ,  G08G1/16 ,  G06N5/04 ,  G06N20/00 ,  G08G1/09 ,  G08G1/017 ,  G08G1/052 ,  G08G1/123 ,  G08G1/005 ,  G08G1/0967

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.

公开(公告)号：US20190287401A1

公开(公告)日：2019-09-19

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 ,  G08G1/01 ,  G08G1/09 ,  G06F15/18 ,  G06N5/04

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.

公开(公告)号：US20190287394A1

公开(公告)日：2019-09-19

申请号：US15994915

申请日：2018-05-31

Applicant: DERQ Inc.

Inventor： Georges Aoude ,  Amer Abufadel ,  Karl Jeanbart ,  Rishabh Choudhary ,  Ankit Sharma

IPC: G08G1/01 ,  G08G1/052 ,  G08G1/123

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.