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1.发明公开公开(公告)号：US20240001912A1
公开(公告)日：2024-01-04
申请号：US17088412
申请日：2020-11-03
IPC分类号： B60W30/08 , G08G1/01 , B60W40/06 , B60W40/105 , G06Q40/08
CPC分类号： B60W30/08 , G08G1/0112 , B60W40/06 , B60W40/105 , G06Q40/08 , B60W2552/53 , B60W2420/42 , B60W2552/20 , B60W2520/10 , B60W2420/52 , B60W2030/082
摘要： 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：US20240273635A1
公开(公告)日：2024-08-15
申请号：US18643572
申请日：2024-04-23
发明人： Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
IPC分类号： G06Q40/08 , G06N20/00 , G06Q50/163
CPC分类号： G06Q40/08 , G06N20/00 , G06Q50/163
摘要： Systems and methods are described for evaluating and gamifying maintenance for a property by a user. The method may include: (1) retrieving first home data for a first property and second home data for a second property, wherein a user is associated with the first property; (2) calculating, using a trained machine learning evaluation model, one or more second home score factors based upon the second home data; (3) detecting that the user is to be associated with the second property; (4) detecting, based upon the first home data and the second home data, one or more local environmental differences between the first property and the second property; and (5) generating a learning module for the user for improving or maintaining the one or more second home score factors based upon the one or more local environmental differences.
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3.发明公开公开(公告)号：US20230377078A1
公开(公告)日：2023-11-23
申请号：US18201027
申请日：2023-05-23
IPC分类号： G06Q50/26 , G06V20/58 , G06F16/29 , G07C5/00 , G06F16/58 , G06N20/00 , G06F3/0484 , G06F16/54 , G06V20/56 , G08G1/052 , G06Q10/20
CPC分类号： G06Q50/26 , G06V20/584 , G06F16/29 , G07C5/008 , G06F16/5866 , G06N20/00 , G06F3/0484 , G06F16/54 , G06V20/588 , G08G1/052 , G06Q10/20 , G01C21/3848
摘要： 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：US20230342857A1
公开(公告)日：2023-10-26
申请号：US17816391
申请日：2022-07-29
发明人： Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
CPC分类号： G06Q40/08 , G06N20/00 , G06Q50/163
摘要： Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.
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公开(公告)号：US20230076648A1
公开(公告)日：2023-03-09
申请号：US17980788
申请日：2022-11-04
摘要： 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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6.发明公开公开(公告)号：US20240273752A1
公开(公告)日：2024-08-15
申请号：US18643686
申请日：2024-04-23
IPC分类号： G06T7/70 , G01C21/34 , G01C21/36 , G06F16/58 , G06F16/587 , G06Q40/08 , G06T7/20 , G06T7/292 , G06V20/54 , G06V20/56 , G06V20/58
CPC分类号： G06T7/70 , G01C21/3461 , G01C21/3484 , G01C21/3602 , G06F16/5866 , G06F16/587 , G06Q40/08 , G06T7/20 , G06T7/292 , G06V20/54 , G06V20/56 , G06V20/58 , G06V20/584 , G06T2207/30252
摘要： 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：US12002107B2
公开(公告)日：2024-06-04
申请号：US17972275
申请日：2022-10-24
发明人： Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
IPC分类号： G06Q40/08 , G06N20/00 , G06Q50/163
CPC分类号： G06Q40/08 , G06N20/00 , G06Q50/163
摘要： Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.
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公开(公告)号：US20230342858A1
公开(公告)日：2023-10-26
申请号：US17972275
申请日：2022-10-24
发明人： Sharon Gibson , Nicholas Carmelo Marotta , Daniel Wilson , David Frank , Phillip Michael Wilkowski , Jason Goldfarb
CPC分类号： G06Q40/08 , G06N20/00 , G06Q50/163
摘要： Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.
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9.发明授权公开(公告)号：US11699205B1
公开(公告)日：2023-07-11
申请号：US17088430
申请日：2020-11-03
IPC分类号： 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分类号： 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
摘要： 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
摘要： 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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