Patents by Inventor Daniel Jacob Lewis
Daniel Jacob Lewis 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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Patent number: 11963065Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.Type: GrantFiled: February 11, 2022Date of Patent: April 16, 2024Assignee: Geotab Inc.Inventors: Paul Stobbe, Stefania Talpa, Daniel Jacob Lewis, Jorge González Núñez, Ivan Lequerica Roca, Luis Alfonso Hernández Gómez
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Patent number: 11934644Abstract: Systems and methods for grouping telematics vehicle data in one or more zones are provided herein. Systems and methods for generating zones and providing vehicle information associated with the one or more zones are also provided. Systems and methods for parallelizing zone generation and addressing zones disposed adjacent a boundary of a geographical are also provided.Type: GrantFiled: November 17, 2021Date of Patent: March 19, 2024Assignee: Geotab Inc.Inventors: Muhammad Junaid Gill, Abhilash Muduvathi, Daniel Jacob Lewis, Terence Michael Branch
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Patent number: 11758358Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.Type: GrantFiled: March 16, 2021Date of Patent: September 12, 2023Assignee: Geotab Inc.Inventors: Paul Stobbe, Stefania Talpa, Daniel Jacob Lewis, Jorge González Núñez, Ivan Lequerica Roca, Luis Alfonso Hernández Gómez
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Publication number: 20230082960Abstract: Systems and methods for associating vehicle trip data with a base map are provided herein. Systems and methods for providing vehicle trip data showing the greatest usage of routes between an origin and destination are also provided. Systems and methods for predicting a speed limit of a road based on vehicle trip data are also provided. Systems and methods for providing vehicle trip data showing popular stops between an origin and a destination are also provided. Systems and methods for providing contiguous region identification based on vehicle trip data are also provided.Type: ApplicationFiled: September 15, 2022Publication date: March 16, 2023Applicant: Geotab Inc.Inventors: Daniel Jacob Lewis, Chien An Liu
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Publication number: 20220373712Abstract: Described herein are methods of estimating a chance of precipitation in an area that include identifying one or more vehicles in the area and determining the likelihood of precipitation using telematics data for the one or more vehicles in the area. Also described herein are methods that include receiving telematics data from a plurality of vehicles, wherein the telematics data is associated with a location, analyzing the telematics data to identify vehicle events associated with one or more segments of road, analyzing weather information associated with the one or more segments of road, and determining a correlation between the weather information and the vehicle events.Type: ApplicationFiled: May 3, 2022Publication date: November 24, 2022Applicant: Geotab Inc.Inventors: Benjamin Paul Prystawski, Daniel Jacob Lewis, Robert Bradley
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Publication number: 20220371599Abstract: Described herein are methods of estimating a chance of precipitation in an area that include identifying one or more vehicles in the area and determining the likelihood of precipitation using telematics data for the one or more vehicles in the area. Also described herein are methods that include receiving telematics data from a plurality of vehicles, wherein the telematics data is associated with a location, analyzing the telematics data to identify vehicle events associated with one or more segments of road, analyzing weather information associated with the one or more segments of road, and determining a correlation between the weather information and the vehicle events.Type: ApplicationFiled: May 3, 2022Publication date: November 24, 2022Applicant: Geotab Inc.Inventors: Benjamin Paul Prystawski, Daniel Jacob Lewis, Robert Bradley
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Publication number: 20220371596Abstract: Described herein are methods of estimating a chance of precipitation in an area that include identifying one or more vehicles in the area and determining the likelihood of precipitation using telematics data for the one or more vehicles in the area. Also described herein are methods that include receiving telematics data from a plurality of vehicles, wherein the telematics data is associated with a location, analyzing the telematics data to identify vehicle events associated with one or more segments of road, analyzing weather information associated with the one or more segments of road, and determining a correlation between the weather information and the vehicle events.Type: ApplicationFiled: May 3, 2022Publication date: November 24, 2022Applicant: Geotab Inc.Inventors: Benjamin Paul Prystawski, Daniel Jacob Lewis, Robert Bradley
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Publication number: 20220373351Abstract: Described herein are methods of estimating a chance of precipitation in an area that include identifying one or more vehicles in the area and determining the likelihood of precipitation using telematics data for the one or more vehicles in the area. Also described herein are methods that include receiving telematics data from a plurality of vehicles, wherein the telematics data is associated with a location, analyzing the telematics data to identify vehicle events associated with one or more segments of road, analyzing weather information associated with the one or more segments of road, and determining a correlation between the weather information and the vehicle events.Type: ApplicationFiled: May 3, 2022Publication date: November 24, 2022Applicant: Geotab Inc.Inventors: Benjamin Paul Prystawski, Daniel Jacob Lewis, Robert Bradley
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Patent number: 11450202Abstract: Disclosed are systems and methods for determining a geographical area occupied by an intersection.Type: GrantFiled: July 21, 2021Date of Patent: September 20, 2022Assignee: Geotab Inc.Inventors: Daniel Jacob Lewis, Robert Bradley
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Patent number: 11443617Abstract: Disclosed are systems and methods relating to determining geographic locations of vehicle ways which are employed by vehicles for movement and/or parking. A classifier may be defined for identifying portions of the vehicle ways via machine learning techniques and processing of historical telematic data.Type: GrantFiled: May 8, 2020Date of Patent: September 13, 2022Assignee: Geotab Inc.Inventors: Daniel Jacob Lewis, Xiaochen Zhang, Brenda Nguyen
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Patent number: 11423773Abstract: Disclosed are systems and methods relating to determining geographic locations of vehicle ways which are employed by vehicles for movement and/or parking. A classifier may be defined for identifying portions of the vehicle ways via machine learning techniques and processing of historical telematic data.Type: GrantFiled: June 21, 2019Date of Patent: August 23, 2022Assignee: Geotab Inc.Inventors: Daniel Jacob Lewis, Xiaochen Zhang, Brenda Nguyen
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Patent number: 11410547Abstract: Disclosed are systems and methods relating to determining geographic locations of vehicle ways which are employed by vehicles for movement and/or parking. A classifier may be defined for identifying portions of the vehicle ways via machine learning techniques and processing of historical telematic data.Type: GrantFiled: June 21, 2019Date of Patent: August 9, 2022Assignee: Geotab Inc.Inventors: Daniel Jacob Lewis, Xiaochen Zhang, Brenda Nguyen
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Publication number: 20220164089Abstract: Systems and methods for grouping telematics vehicle data in one or more zones are provided herein. Systems and methods for generating zones and providing vehicle information associated with the one or more zones are also provided. Systems and methods for parallelizing zone generation and addressing zones disposed adjacent a boundary of a geographical are also provided.Type: ApplicationFiled: November 17, 2021Publication date: May 26, 2022Inventors: Muhammad Junaid Gill, Abhilash Muduvathi, Daniel Jacob Lewis, Terence Michael Branch
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Publication number: 20220161789Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.Type: ApplicationFiled: February 11, 2022Publication date: May 26, 2022Applicant: Geotab Inc.Inventors: Paul Stobbe, Stefania Talpa, Daniel Jacob Lewis, Jorge González Núñez, Ivan Lequerica Roca, Luis Alfonso Hernández Gómez
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Patent number: 11341846Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.Type: GrantFiled: May 19, 2020Date of Patent: May 24, 2022Inventors: Daniel Jacob Lewis, Xiaochen Zhang, Brenda Nguyen
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Patent number: 11335189Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.Type: GrantFiled: May 19, 2020Date of Patent: May 17, 2022Assignee: Geotab Inc.Inventors: Daniel Jacob Lewis, Xiaochen Zhang, Brenda Nguyen
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Patent number: 11335191Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.Type: GrantFiled: May 19, 2020Date of Patent: May 17, 2022Assignee: Geotab Inc.Inventors: Daniel Jacob Lewis, Xiaochen Zhang, Brenda Nguyen
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Patent number: 11254306Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.Type: GrantFiled: June 28, 2019Date of Patent: February 22, 2022Assignee: Geotab Inc.Inventors: Paul Stobbe, Stefania Talpa, Daniel Jacob Lewis, Jorge González Núñez, Ivan Lequerica Roca, Luis Alfonso Hernández Gómez
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Publication number: 20210300346Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.Type: ApplicationFiled: March 16, 2021Publication date: September 30, 2021Applicant: Geotab Inc.Inventors: Paul Stobbe, Stefania Talpa, Daniel Jacob Lewis, Jorge González Núñez, Ivan Lequerica Roca, Luis Alfonso Hernández Gómez
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Patent number: 10994728Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.Type: GrantFiled: October 19, 2020Date of Patent: May 4, 2021Assignee: Geotab Inc.Inventors: Paul Stobbe, Stefania Talpa, Daniel Jacob Lewis, Jorge González Núñez, Ivan Lequerica Roca, Luis Alfonso Hernández Gómez