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11.
公开(公告)号:US11699205B1
公开(公告)日:2023-07-11
申请号:US17088430
申请日:2020-11-03
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: G06Q50/26 , G06N20/00 , G06F16/58 , G06F16/29 , G07C5/00 , G06Q10/20 , G08G1/052 , G06F3/0484 , G06F16/54 , G06V20/58 , G06V20/56 , G01C21/00 , G06Q10/10 , G06Q40/08 , H04L67/12
CPC classification number: G06Q50/26 , G06F3/0484 , G06F16/29 , G06F16/54 , G06F16/5866 , G06N20/00 , G06Q10/20 , G06V20/584 , G06V20/588 , G07C5/008 , G08G1/052 , G01C21/3815 , G01C21/3848 , G06Q10/10 , G06Q40/08 , H04L67/12
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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公开(公告)号:US11526711B1
公开(公告)日:2022-12-13
申请号:US17088402
申请日:2020-11-03
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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公开(公告)号:US12254067B2
公开(公告)日:2025-03-18
申请号:US18530550
申请日:2023-12-06
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: G06F18/25 , B60W30/08 , B60W40/06 , B60W40/105 , G01C21/34 , G01C21/36 , G05D1/00 , G06F3/0484 , G06F16/29 , G06F16/54 , G06F16/58 , G06F16/587 , G06N20/00 , G06Q10/20 , G06Q50/26 , G06T7/20 , G06T7/292 , G06T7/70 , G06V20/52 , G06V20/54 , G06V20/56 , G06V20/58 , G07C5/00 , G08G1/01 , G08G1/052 , G11B27/34 , H04N7/18 , G01C21/00 , G06Q10/10 , G06Q40/08 , H04L67/12
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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公开(公告)号:US20240391464A1
公开(公告)日:2024-11-28
申请号:US17088434
申请日:2020-11-03
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: B60W30/182 , G06N20/00 , H04W4/44
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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15.
公开(公告)号:US12008781B1
公开(公告)日:2024-06-11
申请号:US17088393
申请日:2020-11-03
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: G06T7/70 , G01C21/34 , G01C21/36 , G05D1/00 , G06F16/58 , G06F16/587 , G06Q40/08 , G06T7/20 , G06T7/292 , G06V20/54 , G06V20/56 , G06V20/58
CPC classification number: G06T7/70 , G01C21/3461 , G01C21/3484 , G01C21/3602 , G05D1/0088 , G06F16/5866 , G06F16/587 , G06Q40/08 , G06T7/20 , G06T7/292 , G06V20/54 , G06V20/56 , G06V20/58 , G06V20/584 , G06T2207/30252
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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16.
公开(公告)号:US20240104171A1
公开(公告)日:2024-03-28
申请号:US18530550
申请日:2023-12-06
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: G06F18/25 , G06F3/0484 , G06F16/29 , G06F16/54 , G06F16/58 , G06N20/00 , G06Q10/20 , G06Q50/26 , G06V20/52 , G06V20/56 , G06V20/58 , G07C5/00 , G08G1/052 , G11B27/34 , H04N7/18
CPC classification number: G06F18/251 , G06F3/0484 , G06F16/29 , G06F16/54 , G06F16/5866 , G06N20/00 , G06Q10/20 , G06Q50/26 , G06V20/52 , G06V20/584 , G06V20/588 , G07C5/008 , G08G1/052 , G11B27/34 , H04N7/18 , G01C21/3815
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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公开(公告)号:US11860979B2
公开(公告)日:2024-01-02
申请号:US17980788
申请日:2022-11-04
Inventor: Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: G06F16/58 , G06F18/25 , G06F16/54 , G11B27/34 , H04N7/18 , G06F16/29 , G06V20/52 , G06N20/00 , G06V20/58 , G06V20/56 , G06F3/0484 , G06Q10/20 , G06Q50/26 , G07C5/00 , G08G1/052 , G01C21/00 , G06Q10/10 , G06Q40/08 , H04L67/12
CPC classification number: G06F18/251 , G06F3/0484 , G06F16/29 , G06F16/54 , G06F16/5866 , G06N20/00 , G06Q10/20 , G06Q50/26 , G06V20/52 , G06V20/584 , G06V20/588 , G07C5/008 , G08G1/052 , G11B27/34 , H04N7/18 , G01C21/3815 , G01C21/3848 , G06Q10/10 , G06Q40/08 , H04L67/12
Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.
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公开(公告)号:US20230170063A1
公开(公告)日:2023-06-01
申请号:US18158965
申请日:2023-01-24
Inventor: Jeremy Garavaglia , John Larson , Jovonni Lee Pharr , Kip Wilson , Nolan White , Achyutha Srinivas Mudunuri , Wallace Taylor , Mike Aviles
Abstract: A computer system for generating an insurance policy for a user includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving, from a wearable electronic user device, biometric data associated with a user; (ii) analyzing, based upon a plurality of rules, the biometric data; (iii) determining a health score associated with the user, based in part upon the analysis of the biometric data, wherein the health score represents a likelihood that the user will maintain a level of health for a predefined period of time; (iv) retrieving terms and conditions for an insurance policy from a database based upon the health score; and (v) generating, based upon the determining, an insurance policy for the user based upon the terms and conditions.
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公开(公告)号:US11587648B1
公开(公告)日:2023-02-21
申请号:US16950590
申请日:2020-11-17
Inventor: Jeremy Garavaglia , John Larson , Jovonni Lee Pharr , Kip Wilson , Nolan White , Achyutha Srinivas Mudunuri , Wallace Taylor , Mike Aviles
Abstract: A computer system for analyzing biometric data of a user collected from a plurality of user devices and used to generate an insurance policy for the user includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving, from a wearable electronic user device, biometric data associated with a user; (ii) analyzing, based upon a plurality of rules, the biometric data; (iii) determining a health score associated with the user, based in part upon the analysis of the biometric data, wherein the health score represents a likelihood that the user will maintain a level of health for a predefined period of time; (iv) retrieving terms and conditions for an insurance policy from a database based upon the health score; and (v) generating, based upon the determining, an insurance policy for the user based upon the terms and conditions.
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公开(公告)号:US20220414807A1
公开(公告)日:2022-12-29
申请号:US17896617
申请日:2022-08-26
Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY , United Services Automobile Association (USAA)
Inventor: Ryan Maurer , Nolan White , Kyle D. Weber , Edward Austin , William Guthrie , Dustin Helland , Bharat Prasad , Sharon Kay Haverlah , Karen Marie Shackelford-George
Abstract: Aspects of distributed ledger technology are leveraged to verify subrogation settlements. In particular, two parties to a subrogation claim provide cryptographic hashes to a subrogation demand smart contract stored at an address on a blockchain. The subrogation demand smart contract determines that the parties have reached an agreement by determining that the cryptographic hashes match. A settlement amount from the subrogation claim may be appended to a set of settlement amounts to determine a net settlement amount to facilitate a single payment between the parties on a periodic basis, such as daily, to alleviate the need for the parties to send or receive a payment for each individual settlement amount.
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