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公开(公告)号：US20240331047A1
公开(公告)日：2024-10-03
申请号：US18216449
申请日：2023-06-29
IPC分类号： G06Q40/08 , G06N3/045 , G06Q30/0601
CPC分类号： G06Q40/08 , G06N3/045 , G06Q30/0617 , H04L51/02
摘要： A computer system for flood monitoring and insurance provider notification, the computer system may include one or more processors configured to: detect a flood event in a structure, transmit information associated with the structure and a prompt for flood reimbursement services to a machine learning (ML) chatbot to cause the ML chatbot to file a flood reimbursement claim with an insurance provider having an insurance policy associated with the structure via telephone by converting a text output into a voice output.
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公开(公告)号：US20240331043A1
公开(公告)日：2024-10-03
申请号：US18216346
申请日：2023-06-29
IPC分类号： G06Q40/06
CPC分类号： G06Q40/06
摘要： A computer system for automated investment advising may include one or more processors configured to: receive from an investor an investment strategy, send the investment strategy and a prompt for investment instructions to an ML chatbot (or voice bot) to cause an ML model to generate the investment instructions, and receive the investment instructions from the ML chatbot (or voice bot).
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公开(公告)号：US20240328410A1
公开(公告)日：2024-10-03
申请号：US18216374
申请日：2023-06-29
CPC分类号： F04B51/00 , G06Q10/20 , G08B21/187 , F04B2207/70
摘要： A computer system for sump pump monitoring and repair service provider notification may include one or more processors configured to: detect that a sump pump is faulty, transmit a prompt for service quotes to a machine learning (ML) chatbot to cause the ML chatbot to: request sump pump replacement or repair services from one or more service providers, receive cost estimates from the one or more repair service providers, receive schedule availability from the one or more repair service providers, receive, from the ML chatbot, the cost estimates and the schedule availability, and communicate the cost estimates and/or the schedule availability to a user associated with the sump pump.
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公开(公告)号：US20240289777A1
公开(公告)日：2024-08-29
申请号：US18540576
申请日：2023-12-14
发明人： Aaron Williams , Seth L. Corin
IPC分类号： G06Q20/36
CPC分类号： G06Q20/3678
摘要： A digital asset (DA) computing system may include a memory and a processor. The processor may be programmed to receive a plurality of digital assets associated with an electronic record of a user, store the plurality of digital assets, and receive a request to check out at least one digital asset of the plurality of digital assets. The processor may also be programmed to cause a transfer of the at least one digital asset from the electronic record to the electronic target location, record the transfer in an electronic ledger, receive the at least one digital asset from the electronic target location, store the at least one digital asset back in the electronic record, and store receipt of the at least one digital asset in the electronic ledger.
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5.发明公开公开(公告)号：US20240010089A1
公开(公告)日：2024-01-11
申请号：US17883447
申请日：2022-08-08
CPC分类号： B60L53/62 , B60L58/12 , B60L53/57 , G07C5/0816 , H02J7/00032 , B60L2240/26 , B60L2240/54 , B60L2240/62 , B60L53/35
摘要： Methods and systems for charging an electric vehicle (EV) are described herein. An EV may require additional battery power to reach a charging station. A remote server in communication with the EV or an on-board computer or mobile device in the EV may obtain data to determine a location for the EV to meet a charging vehicle. The charging vehicle may be dispatched to meet the EV and deliver power to it, enabling the EV to reach a charging station or other destination. In some examples, the charging vehicle may deliver power to the EV while both vehicles are stationary. In other examples, the charging vehicle may couple to the EV while both vehicles are in motion.
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公开(公告)号：US20240010081A1
公开(公告)日：2024-01-11
申请号：US17883460
申请日：2022-08-08
IPC分类号： B60L53/126 , B60L53/57 , B60L53/53 , B60L53/66
CPC分类号： B60L53/126 , B60L53/57 , B60L53/53 , B60L53/66
摘要： Methods and systems for charging an electric vehicle (EV) are described herein. An EV may require additional battery power to reach a charging station. A remote server in communication with the EV or an on-board computer or mobile device in the EV may obtain data to determine a location for the EV to meet a charging vehicle. The charging vehicle may be dispatched to meet the EV and deliver power to it, enabling the EV to reach a charging station or other destination. In some examples, the charging vehicle may deliver power to the EV while both vehicles are stationary. In other examples, the charging vehicle may couple to the EV while both vehicles are in motion.
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公开(公告)号：US11842300B1
公开(公告)日：2023-12-12
申请号：US16992198
申请日：2020-08-13
IPC分类号： G06Q40/08
CPC分类号： G06Q40/08
摘要： A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.
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公开(公告)号：US11790776B1
公开(公告)日：2023-10-17
申请号：US17874056
申请日：2022-07-26
IPC分类号： G05D1/00 , G08G1/0967 , G08G1/0969
CPC分类号： G08G1/0967 , G08G1/0969
摘要： 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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公开(公告)号：US11787417B2
公开(公告)日：2023-10-17
申请号：US17465614
申请日：2021-09-02
CPC分类号： B60W40/09 , B60W50/12 , B60W50/14 , G06Q40/08 , G06V20/597 , B60W2040/0809 , B60W2040/0818 , B60W2040/0872 , B60W2555/20
摘要： A computer-implemented method of assessing driver capability for operating an autonomous vehicle includes identifying a human operator of the autonomous vehicle, the human operator being associated with a driving capability profile. The method further includes signaling to the human operator with the signal, the signal requesting a response from the human operator. The method also includes updating, based on the response from the human operator to the signal, the driving capability profile to indicate a level of skill of the human operator at responding to the signal.
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公开(公告)号：US20230315090A1
公开(公告)日：2023-10-05
申请号：US18206414
申请日：2023-06-06
IPC分类号： G05D1/00
CPC分类号： G05D1/0061 , G05D1/0088 , B60W2050/007
摘要： Vehicles may have the capability to navigate according to various levels of autonomous capabilities, the vehicle having a different set of autonomous competencies at each level. In certain situations, the vehicle may shift from one level of autonomous capability to another. The shift may require more or less driving responsibility from a human operator. Sensors inside the vehicle collect human operator parameters to determine an alertness level of the human operator. An alertness level is determined based on the human operator parameters and other data including historical data or human operator-specific data. Notifications are presented to the user based on the determined alertness level that are more or less intrusive based on the alertness level of the human operator and on the urgency of an impending change to autonomous capabilities. Notifications may be tailored to specific human operators based on human operator preference and historical performance.
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