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公开(公告)号：US20250044794A1
公开(公告)日：2025-02-06
申请号：US18923277
申请日：2024-10-22
Inventor： Brian Mark Fields , Kristopher Keith Gaudin , Leo Nelson Chan , Aaron Williams
Abstract: 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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公开(公告)号：US20250037572A1
公开(公告)日：2025-01-30
申请号：US18908709
申请日：2024-10-07
Inventor： Brian Mark Fields , Steve Roberson
Abstract: An alert may be triggered to notify a pedestrian of the current operational mode of a nearby vehicle. For instance, a vehicle may operate in an autonomous or manual mode, and may occasionally switch from one mode to the other. A pedestrian who may be unaware of the current operational mode of a nearby vehicle may notice the alert and proceed accordingly. In one embodiment, an indication of the current operational mode of the nearby vehicle may be transmitted to an electronic device associated with the pedestrian. The device may generate a notification to the pedestrian based on the current operational mode. In an additional or alternative embodiment, the alert may be transmitted by the vehicle externally to be visible or audible to the pedestrian. In some embodiments, the alert may be triggered only for particular operational modes (e.g., only for autonomous or only for manual).
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公开(公告)号：US20240412294A1
公开(公告)日：2024-12-12
申请号：US18234472
申请日：2023-08-16
Inventor： Joseph Robert Brannan , Vicki King , Brian Mark Fields , Nathan L. Tofte
Abstract: The following relates generally to AI-based review of insurance claims complaints. In some embodiments, one or more processors: (1) receive, via a chatbot, an insurance claim complaint; (2) categorize, via the chatbot, the insurance claim complaint by determining a category of the insurance claim complaint, the category comprising a tone category or a policy category; (3) build, via the chatbot, a complaint report including information of the insurance claim complaint and an indication of the category; and/or (5) send, via the chatbot, the complaint report to an insurance complaint administrator computing device.
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公开(公告)号：US20240403596A1
公开(公告)日：2024-12-05
申请号：US18234458
申请日：2023-08-16
Inventor： Joseph Robert Brannan , Vicki King , Brian Mark Fields , Nathan L. Tofte
IPC: G06N3/006 , G06F40/284 , G06F40/58 , G06Q30/02 , G06Q40/08
Abstract: The following relates generally to artificial intelligence (AI)-based communication with an insurance customer. In some embodiments, one or more processors: receive, via a chatbot (or voicebot or other bot), a question in a first language; translate, via the chatbot, the question from the first language to a second language; determine, via the chatbot, an answer to the translated question, the answer being determined in the second language; translate, via the chatbot, the answer from the second language to the first language; and/or present, via the chatbot, the answer in the first language to an insurance customer.
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公开(公告)号：US20240394038A1
公开(公告)日：2024-11-28
申请号：US18791961
申请日：2024-08-01
Inventor： Brian Mark Fields , Chien Che Huang , Mohamed A. Wazeer , Shawn C. Bennett , Steven C. Cielocha , Ronny S. Bryant , Stephen A. Kohaus , Terry Quakenbush , Richard A. Novak , Aaron Scott Chan , Craig M. Main , Weixin Wu , Torri Wollenschlager , Carol Marie Csanda , Stacey Gorsuch , Todd Binion
IPC: G06F8/65 , A61B5/00 , A61B5/02 , B60K35/00 , B60W10/04 , B60W30/06 , B60W30/09 , B60W30/095 , B60W40/02 , B60W40/08 , B60W40/09 , B60W50/00 , B60W50/02 , B60W50/04 , B60W50/08 , B60W50/12 , B60W50/14 , B60W60/00 , B62D15/02 , G01C21/34 , G05D1/248 , G05D1/617 , G06Q30/0201 , G06Q30/0207 , G06Q30/0217 , G06Q40/08 , G07C5/02 , G07C5/08 , G08B25/10 , G08G1/09 , G08G1/0962 , G08G1/14
Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for an autonomous or semi-autonomous vehicle may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of the vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.
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Patent Agency Ranking
公开(公告)号：US12130622B2
公开(公告)日：2024-10-29
申请号：US18206414
申请日：2023-06-06
Inventor： Brian Mark Fields , Leo Nelson Chan , Kristopher Keith Gaudin , Aaron Williams
CPC classification number: G05D1/0061 , G05D1/0088 , B60W2050/007 , B60W2050/0072
Abstract: 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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公开(公告)号：US20240311271A1
公开(公告)日：2024-09-19
申请号：US18462071
申请日：2023-09-06
Inventor： Brian Mark Fields , Nathan L. Tofte , Joseph Robert Brannan , Vicki King , Justin Davis
CPC classification number: G06F11/3604 , G06F8/65 , G06F11/3688 , G09B5/06 , H04L51/02
Abstract: Apparatuses, systems and methods are provided for checking code for errors. The apparatuses, systems and methods may send a target code and a prompt for code checking to a machine learning (ML) chatbot to cause the ML chatbot to check the target code for errors. The apparatuses, systems and methods may determine whether there is an error in the target code based at least partially on a response from the ML chatbot. The apparatuses, systems and methods may, responsive to determining that there is an error in the target code, determine, via an interaction with the ML chatbot, a solution to fix the error. The apparatuses, systems and methods may analyze the solution to determine a number of at least one of (i) a set of steps or (ii) a set of interactions required by the solution. The apparatuses, systems and methods may, responsive to determining that the number exceeds a predetermined threshold, fix the error by implementing the solution with respect to the target code.
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公开(公告)号：US12086583B2
公开(公告)日：2024-09-10
申请号：US17847444
申请日：2022-06-23
Inventor： Brian Mark Fields , Chien Che Huang , Mohamed A. Wazeer , Shawn C. Bennett , Steven C. Cielocha , Ronny S. Bryant , Stephen A. Kohaus , Terry Quakenbush , Richard A. Novak , Aaron Scott Chan , Craig M. Main , Weixin Wu , Torri Wollenschlager , Carol Marie Csanda , Stacey Gorsuch , Todd Binion
IPC: G06Q40/08 , A61B5/00 , A61B5/02 , B60K35/00 , B60W10/04 , B60W30/06 , B60W30/09 , B60W30/095 , B60W40/02 , B60W40/08 , B60W40/09 , B60W50/02 , B60W50/04 , B60W50/08 , B60W50/12 , B60W50/14 , B60W60/00 , B62D15/02 , G01C21/34 , G05D1/00 , G05D1/248 , G05D1/617 , G06F8/65 , G06Q30/0201 , G06Q30/0207 , G06Q30/0217 , G07C5/02 , G07C5/08 , G08B25/10 , G08G1/09 , G08G1/0962 , G08G1/14 , B60W50/00
CPC classification number: G06F8/65 , A61B5/02028 , A61B5/4064 , A61B5/4094 , A61B5/6893 , A61B5/7282 , B60K35/00 , B60W10/04 , B60W30/06 , B60W30/09 , B60W30/0956 , B60W40/02 , B60W40/08 , B60W40/09 , B60W50/02 , B60W50/0205 , B60W50/045 , B60W50/082 , B60W50/12 , B60W50/14 , B60W60/0053 , B60W60/0059 , B60W60/007 , B62D15/0285 , G01C21/3407 , G05D1/0055 , G05D1/0214 , G05D1/0278 , G05D1/248 , G05D1/617 , G06Q30/0206 , G06Q30/0207 , G06Q30/0217 , G06Q40/08 , G07C5/02 , G07C5/0808 , G08B25/10 , G08G1/091 , G08G1/0962 , G08G1/14 , B60W2040/0809 , B60W2040/0818 , B60W2050/0071 , B60W2050/0073 , B60W2050/0075 , B60W2050/0215 , B60W2050/046 , B60W2050/143 , B60W2420/403 , B60W2540/043 , B60W2540/22 , B60W2540/221 , B60W2540/26 , B60W2556/45 , B60W2756/10 , B60W2900/00
Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.
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公开(公告)号：US20240289872A1
公开(公告)日：2024-08-29
申请号：US18378512
申请日：2023-10-10
Inventor： Brian Mark Fields , Nathan L. Tofte , Joseph Robert Brannan , Vicki King , Justin Davis
IPC: G06Q30/0645 , G06Q30/0202 , G06Q30/08 , G06Q40/08
CPC classification number: G06Q30/0645 , G06Q30/0202 , G06Q30/08 , G06Q40/08
Abstract: Techniques for intelligent coordination between parties for short-term rental or lending of items are disclosed herein. An exemplary computer-implemented method includes aggregating party data from the plurality of parties, and determining, by executing a machine learning (ML) chatbot, one or more items associated with each party of the plurality of parties. The ML chatbot is trained using a plurality of training party data from a plurality of training parties as input to output a plurality of training items associated with the plurality of training parties. The computer-implemented method may further include generating, by executing the ML chatbot, a set of associated parties that includes at least a pair of parties from the plurality of parties for each item of the one or more items; and for each set of parties, initiating contact between parties.
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公开(公告)号：US20240281889A1
公开(公告)日：2024-08-22
申请号：US18204580
申请日：2023-06-01
Inventor： Brian Mark Fields , Nathan L. Tofte , Joseph Robert Brannan , Vicki King , Justin Davis
Abstract: The following relates generally to aiding underwriting and insurance agents. In some embodiments, one or more processors: (1) receive, with an AI chatbot (or voice bot) of the one or more processors, an input statement; (2) determine, with the AI chatbot, from the received input statement, a type of insurance policy; (3) determine, with the AI chatbot, from the input statement, a question corresponding to the type of insurance policy; (4) determine, with the AI chatbot, an answer to the question by retrieving insurance information based upon (i) the type of insurance policy, and/or (ii) the question; and/or (5) present, via the AI chatbot, the answer to the question.
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