Patents by Inventor Amer Abufadel
Amer Abufadel 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).
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Publication number: 20230401960Abstract: 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.Type: ApplicationFiled: May 10, 2023Publication date: December 14, 2023Inventors: Nikhil Manohar, Amer Abufadel, Georges Aoude
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Patent number: 11763678Abstract: 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: GrantFiled: September 22, 2022Date of Patent: September 19, 2023Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 11749111Abstract: 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: GrantFiled: May 31, 2018Date of Patent: September 5, 2023Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 11688282Abstract: 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.Type: GrantFiled: September 12, 2022Date of Patent: June 27, 2023Inventors: Nikhil Manohar, Amer Abufadel, Georges Aoude
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Publication number: 20230186769Abstract: 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: ApplicationFiled: September 22, 2022Publication date: June 15, 2023Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Publication number: 20230112079Abstract: 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.Type: ApplicationFiled: September 12, 2022Publication date: April 13, 2023Inventors: Nikhil Manohar, Amer Abufadel, Georges Aoude
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Publication number: 20230005371Abstract: 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: ApplicationFiled: February 15, 2022Publication date: January 5, 2023Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 11443631Abstract: 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.Type: GrantFiled: August 14, 2020Date of Patent: September 13, 2022Assignee: DERQ Inc.Inventors: Nikhil Manohar, Amer Abufadel, Georges Aoude
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Patent number: 11276311Abstract: 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: GrantFiled: November 2, 2020Date of Patent: March 15, 2022Assignee: DERQ Inc.Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 11257371Abstract: 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: GrantFiled: May 20, 2020Date of Patent: February 22, 2022Assignee: DERQ Inc.Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 11257370Abstract: 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: GrantFiled: May 31, 2018Date of Patent: February 22, 2022Assignee: DERQ Inc.Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Publication number: 20210375138Abstract: 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: ApplicationFiled: November 2, 2020Publication date: December 2, 2021Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 10950130Abstract: 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: GrantFiled: May 31, 2018Date of Patent: March 16, 2021Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Publication number: 20210065551Abstract: 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.Type: ApplicationFiled: August 14, 2020Publication date: March 4, 2021Inventors: Nikhil Manohar, Amer Abufadel, Georges Aoude
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Publication number: 20200388156Abstract: 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: ApplicationFiled: May 20, 2020Publication date: December 10, 2020Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 10854079Abstract: 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: GrantFiled: March 14, 2019Date of Patent: December 1, 2020Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Patent number: 10565880Abstract: 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: GrantFiled: December 17, 2018Date of Patent: February 18, 2020Assignee: DERQ Inc.Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Publication number: 20190325754Abstract: 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: ApplicationFiled: March 14, 2019Publication date: October 24, 2019Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Publication number: 20190287395Abstract: 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: ApplicationFiled: December 17, 2018Publication date: September 19, 2019Applicant: DERQ Inc.Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma
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Publication number: 20190287401Abstract: 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: ApplicationFiled: May 31, 2018Publication date: September 19, 2019Applicant: DERQ Inc.Inventors: Georges Aoude, Amer Abufadel, Karl Jeanbart, Rishabh Choudhary, Ankit Sharma