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公开(公告)号：US09805456B1
公开(公告)日：2017-10-31
申请号：US15165457
申请日：2016-05-26
Inventor： Brian N. Harvey , Nathan L. Tofte , Roger D. Schmidgall , Michael Jeffrey Aviles , Kyle Pott , Rosemarie Geier Grant , Eric Haefli , Michael Shawn Jacob
CPC classification number: G06T7/0004 , G06K9/00637 , G06K9/00651 , G06K9/4604 , G06K9/52 , G06K9/6267 , G06T7/0002 , G06T7/0008 , G06T7/0085 , G06T7/60 , G06T7/62 , G06T15/005 , G06T2200/04 , G06T2200/24 , G06T2207/10016 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/10032 , G06T2207/10036 , G06T2207/30108 , G06T2207/30184
Abstract: A method and system may assess the damage to infrastructure using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. Specifically, an item of infrastructure may be identified for assessing damage. The UAV, MAV, or satellite device may then capture aerial images within an area which surrounds the identified infrastructure item. Subsequently, the aerial images may be analyzed to determine a condition and the extent and/or severity of the damage to the infrastructure item. Furthermore, the aerial images along with indications of the extent of the damage may be displayed on a computing device, where one indication of the severity of the damage surrounds another indication of the severity of the damage on the display.
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公开(公告)号：US09442061B1
公开(公告)日：2016-09-13
申请号：US15009269
申请日：2016-01-28
Inventor： Patrick H. Boyer , Nathan L. Tofte , Jackie O. Jordan, II , Brian N. Harvey
CPC classification number: G01N19/08 , E04B7/00 , E04D13/00 , E04D13/006 , G01B3/22 , G01B5/207 , G01L9/02 , G01M5/0033 , G01M5/0083 , G01N27/00 , G05B2219/40575 , G05B2219/40576 , G05B2219/40625
Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with a three-dimensional (3D) scanner. The 3D contact scanner includes a tactile sensor system having at least one tactile sensor for generating 3D data points based on tactile feedback resulting from physical contact with at least part of the structure. A 3D model is constructed from the 3D data and is then analyzed to determine the condition of the structure.
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公开(公告)号：US20250104709A1
公开(公告)日：2025-03-27
申请号：US18828857
申请日：2024-09-09
Inventor： Brian N. Harvey
Abstract: A vehicle chatbot of a smart vehicle assistant engages in a conversation with a user associated with a vehicle, for instance to provide insurance information and range extension tips associated with vehicle operations. The vehicle chatbot may also engage in a conversation with an external entity in the event of a collision, to provide information to the external entity on behalf of vehicle occupants. The smart vehicle assistant may also cause the vehicle to autonomously drive to a location following a collision. A responder dispatched to respond to the collision may use a smart responder assistant that includes a responder chatbot. The responder chatbot may engage in a conversation with the responder to obtain information identifying the vehicle and/or damage to the vehicle, and may provide the responder with information about the vehicle and recommendations regarding how to extract occupants of the vehicle.
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公开(公告)号：US20250083687A1
公开(公告)日：2025-03-13
申请号：US18827425
申请日：2024-09-06
Inventor： Brian N. Harvey
Abstract: A smart towing assistant provides towing-related information to a user associated with towing of a towable object by a vehicle. A chatbot of the smart towing assistant engages in a conversation with the user to answer towing-related questions and provide towing-related information, including towing-related safety information, steering and driving information, and information related to towing insurance. The smart towing assistant may also detect instances of towing activity, and corresponding towing usage information can be used to determine billing amounts associated with usage-based towing insurance. The smart towing assistant may also provide lane assist detection associated with towing of a towable object by a vehicle, to alert a driver of detected towing-related safety issues.
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公开(公告)号：US12198423B2
公开(公告)日：2025-01-14
申请号：US17977977
申请日：2022-10-31
Inventor： Brian N. Harvey , Nathan L. Tofte , Roger D. Schmidgall , Michael Jeffrey Aviles , Kyle Pott , Rosemarie Geier Grant , Eric Haefli , Michael Shawn Jacob
IPC: G06K9/00 , G06F18/24 , G06T7/00 , G06T7/13 , G06T7/60 , G06T7/62 , G06T15/00 , G06V10/42 , G06V10/44 , G06V20/10
Abstract: A method and system may survey a property using aerial images captured from an unmanned aerial vehicle (UAV), a manned aerial vehicle (MAV) or from a satellite device. The method may include identifying a commercial property for a UAV to perform surveillance, and directing the UAV to hover over the commercial property and capture aerial images at predetermined time intervals. Furthermore, the method may include receiving the aerial images of the commercial property captured at the predetermined time intervals, detecting a surveillance event at the commercial property, generating a surveillance alert, and transmitting the surveillance alert to an electronic device associated with an owner of the commercial property.
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Patent Agency Ranking
76.发明授权公开(公告)号：US12187289B1
公开(公告)日：2025-01-07
申请号：US17191400
申请日：2021-03-03
Inventor： Joseph Robert Brannan , Brian N. Harvey , Darwin Gene Beachy , Matthew Eric Riley, Sr. , Benjamin Joel Tucker , Michael Aaron Myers , Ryan Michael Gross
Abstract: A data analytics computing device for generating refined risk models responsive to vehicle-based telematics data is configured to receive geolocation data and telematics data associated with a plurality of vehicles. The geolocation data is captured at a location sensor of a vehicle computing device and representative of a location of the vehicle, and the telematics data is captured at a plurality of sensors of at least one of the vehicle or the vehicle computing device and representative of movement of the vehicle. The plurality of vehicles is associated with a geographic area. The data analytics computing device is also configured to apply machine-learning techniques to the geolocation data and the telematics data to define standard driving behavior within the geographic area, and generate driving behavior risk models for the geographic area based upon the standard driving behavior.
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77.发明申请公开(公告)号：US20240420245A1
公开(公告)日：2024-12-19
申请号：US18816233
申请日：2024-08-27
Inventor： Ryan Michael Gross , Joseph Robert Brannan , Brian N. Harvey
IPC: G06Q40/08 , G06Q10/20 , G06Q20/10 , G06Q30/0201 , G06Q30/0207 , G06Q30/0282 , G06Q40/02 , G06Q50/40 , G07C5/00 , G07C5/08 , G10L15/18
Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.
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公开(公告)号：US20240385684A1
公开(公告)日：2024-11-21
申请号：US18785875
申请日：2024-07-26
Inventor： Aaron Williams , Joseph Robert Brannan , John Donovan , Brian N. Harvey
Abstract: The following relates generally to providing virtual reality (VR) alerts to a driver of an autonomous vehicle. For example, a vehicle may be driving autonomously while the driver is watching a VR movie (e.g., on a pair of VR goggles); the driver may then receive a VR alert recommending that the driver take control of the vehicle (e.g., switch the vehicle from autonomous to manual mode). The following also relates to generating a VR feed for presenting real-time road conditions so that a user may preview a road segment. The following also relates to generating a VR feed corresponding to an event (e.g., a vehicle collision, a crime, a weather event, and/or a natural disaster).
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79.发明公开公开(公告)号：US20240336270A1
公开(公告)日：2024-10-10
申请号：US18745397
申请日：2024-06-17
Inventor： Brian N. Harvey , Joseph Robert Brannan , Ryan Gross , J. Lynn Wilson , Matthew Eric Riley, SR.
IPC: B60W40/09 , G06Q30/0645 , G06Q50/40 , G07C5/00
CPC classification number: B60W40/09 , G06Q30/0645 , G06Q50/40 , G07C5/008
Abstract: Embodiments described herein receive telematics data collected over a period of time, wherein the telematics data is indicative of operation of a vehicle by an owner of the vehicle during the period of time; analyze the telematics data to identify driving behavior(s) of the owner during the period of time; predict one or more user preference values of a vehicle-sharing platform profile of the owner based on the identified one or more driving behaviors, wherein the one or more user preference values define one or more criteria for vehicle renters with whom the first vehicle can be shared; apply the one or more criteria to a potential vehicle renter; and cause an indication of the first vehicle of the owner to be displayed via a mobile device of the potential renter only if the potential vehicle renter satisfies the one or more criteria.
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80.发明授权公开(公告)号：US12112387B2
公开(公告)日：2024-10-08
申请号：US18331760
申请日：2023-06-08
Inventor： Ryan Michael Gross , Joseph Robert Brannan , Brian N. Harvey
IPC: G06Q40/08 , G06Q10/20 , G06Q20/10 , G06Q30/0201 , G06Q30/0207 , G06Q30/0282 , G06Q40/02 , G06Q50/40 , G07C5/00 , G07C5/08 , G10L15/18
CPC classification number: G06Q40/08 , G06Q10/20 , G06Q20/102 , G06Q30/0206 , G06Q30/0215 , G06Q30/0282 , G06Q40/02 , G06Q50/40 , G07C5/008 , G07C5/0808 , G07C5/085 , G10L15/1822
Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.
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