Patents by Inventor Karl Jeanbart

Karl Jeanbart has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11276311
    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.
    Type: Grant
    Filed: November 2, 2020
    Date of Patent: March 15, 2022
    Assignee: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Patent number: 11257370
    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.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: February 22, 2022
    Assignee: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Patent number: 11257371
    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.
    Type: Grant
    Filed: May 20, 2020
    Date of Patent: February 22, 2022
    Assignee: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20210375138
    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.
    Type: Application
    Filed: November 2, 2020
    Publication date: December 2, 2021
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Patent number: 10950130
    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.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: March 16, 2021
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20200388156
    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.
    Type: Application
    Filed: May 20, 2020
    Publication date: December 10, 2020
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Patent number: 10854079
    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.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: December 1, 2020
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Patent number: 10565880
    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.
    Type: Grant
    Filed: December 17, 2018
    Date of Patent: February 18, 2020
    Assignee: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20190325754
    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.
    Type: Application
    Filed: March 14, 2019
    Publication date: October 24, 2019
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20190287403
    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.
    Type: Application
    Filed: May 31, 2018
    Publication date: September 19, 2019
    Applicant: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20190287394
    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.
    Type: Application
    Filed: May 31, 2018
    Publication date: September 19, 2019
    Applicant: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20190287402
    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.
    Type: Application
    Filed: May 31, 2018
    Publication date: September 19, 2019
    Applicant: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20190287401
    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.
    Type: Application
    Filed: May 31, 2018
    Publication date: September 19, 2019
    Applicant: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Publication number: 20190287395
    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.
    Type: Application
    Filed: December 17, 2018
    Publication date: September 19, 2019
    Applicant: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
  • Patent number: 10235882
    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.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: March 19, 2019
    Assignee: DERQ Inc.
    Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma