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1.发明公开公开(公告)号：US20240059318A1
公开(公告)日：2024-02-22
申请号：US17979729
申请日：2022-11-02
Inventor： Ryan Michael Gross , M Eric Riley, SR. , Jody Ann Thoele , Jordan Jeffers , Shawn Renee Harbaugh , Rick Lovings , Joann C. Yant , Jenny L. Jacobs
CPC classification number: B60W60/0015 , G07C5/008 , B60W2555/20
Abstract: Techniques for using connected vehicles as secondary data sources to confirm weather data and other triggering events are provided, including (1) determining indication of a weather event associated with a location of interest; (2) receiving indications of location data captured by location sensors associated with vehicles (such as vehicle-mounted sensors and/or mobile devices, virtual headsets, or wearables of passengers); (3) comparing the location data captured by the location sensors to a location of interest in order to identify one or more vehicles within a proximity of the location of interest; (4) receiving environmental sensor data captured by environmental sensors associated with one or more of the identified vehicles; and (5) determining, based upon the environmental sensor data captured by the environmental sensors associated with the one or more of the identified vehicles, an indication of an accuracy of the indication of the weather event associated with the location of interest.
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公开(公告)号：US20240062262A1
公开(公告)日：2024-02-22
申请号：US17962803
申请日：2022-10-10
Inventor： Ryan Michael Gross , M Eric Riley, SR. , Jody Ann Thoele , Jordan Jeffers , Shawn Renee Harbaugh , Rick Lovings , Joann C. Yant , Jenny L. Jacobs
CPC classification number: G06Q30/0615 , H04L9/50
Abstract: Systems and methods are described for facilitating a zero-trust index mutual aid on a distributed ledger. The method may include: (1) receiving weather data at the distributed ledger; (2) detecting, based at least upon the weather data, that a trigger for a parametric event is met for a first subset of a plurality of users; (3) retrieving, responsive to the detecting, payment from a second subset of the plurality of users in accordance with a smart contract stored on the distributed ledger; (4) allocating the payment from the second subset of the plurality of users into respective allocated payments in accordance with the smart contract; and (5) causing the first subset of the plurality of users to receive the respective allocated payments in accordance with the smart contract.
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公开(公告)号：US20240062307A1
公开(公告)日：2024-02-22
申请号：US17979744
申请日：2022-11-02
Inventor： Ryan Michael Gross , M. Eric Riley, SR. , Jody Ann Thoele , Jordan Jeffers , Shawn Renee Harbaugh , Rick Lovings , Joann C. Yant , Jenny L. Jacobs
CPC classification number: G06Q40/08 , G06V20/56 , G06V20/188 , G06Q50/02
Abstract: Techniques for using connected vehicles as secondary data sources to confirm weather data and other triggering crop-damaging events associated with agriculture and agribusinesses, and mitigation techniques associated therewith are provided, including (1) determining indication of a weather event associated with a location of interest; (2) determining possible mitigation techniques for mitigating damage caused by the weather event; (3) receiving indications of location data associated with vehicles/passengers; (4) comparing the location data to a location of interest in order to identify vehicles/passengers within a proximity of the location of interest; (5) receiving sensor data captured by sensors associated with the identified vehicles; and (6) determining, based upon the sensor data captured by the sensors associated with the identified vehicles over a period of time, whether any of the possible mitigation techniques have been performed at the location of interest over the period of time.
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公开(公告)号：US20240062306A1
公开(公告)日：2024-02-22
申请号：US17962816
申请日：2022-10-10
Inventor： Ryan Michael Gross , M Eric Riley, SR. , Jody Ann Thoele , Jordan Jeffers , Shawn Renee Harbaugh , Rick Lovings , Joann C. Yant , Jenny L. Jacobs , Erik Skyten
IPC: G06Q40/08
CPC classification number: G06Q40/08
Abstract: Systems and methods are described for performing analysis of parametric events. The method may include: (1) receiving weather data from a weather oracle network; (2) calculating, using a first trained machine learning algorithm, a likelihood of a trigger activation for a parametric event (or a trigger event) for a user based at least upon the weather data; (3) calculating, using a second trained machine learning algorithm, an estimated loss for the user based at least upon the likelihood of the trigger activation; (4) determining an initial coverage for the user; and (5) determining whether to offer the user updated coverage for the parametric event based at least upon a comparison of the initial coverage and the estimated loss for the user.
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