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公开(公告)号：US20250104158A1
公开(公告)日：2025-03-27
申请号：US18975723
申请日：2024-12-10
Inventor： Brian Mark Fields , Aaron Williams , Kristopher Keith Gaudin
Abstract: Systems and approaches relate to, inter alia, identifying customer opportunities. The systems and approaches may monitor a plurality of routes traversed by a vehicle. The systems and approaches may then access historical route data for the plurality travel routes. The systems and approaches may further calculate a risk index based on the historical route data, and determine at least one customer opportunity based on the calculated risk index.
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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：US12205450B2
公开(公告)日：2025-01-21
申请号：US17894939
申请日：2022-08-24
Inventor： Aaron Williams , Joseph Robert Brannan , Christopher N. Kawakita , Dana C. Hunt
Abstract: Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.
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84.发明授权公开(公告)号：US12181299B2
公开(公告)日：2024-12-31
申请号：US17878698
申请日：2022-08-01
Inventor： Aaron Williams , Ryan Michael Gross , Joseph Robert Brannan
IPC: G01C21/00 , B64C39/00 , B64C39/02 , G01C21/20 , G01C21/34 , G05D1/00 , G06Q10/00 , G06Q10/047 , G06Q10/0631 , G06Q10/0635 , G06Q10/0835 , G06Q50/00 , G06Q50/40 , B64U101/60
Abstract: A vehicle routing system includes a vehicle routing and analytics (VRA) computing device, one or more databases, and one or more vehicles communicatively coupled to the VRA computing device. The VRA computing device is configured to generate an optimal route for a vehicle to travel that maximizes potential revenue for operation of the vehicle, the optimal route including a schedule of a plurality of tasks, and generate analytics associated with operation of the vehicle. The VRA computing device is further configured to provide a management hub software application accessible by vehicle users associated with vehicles, tasks sources, and other users.
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公开(公告)号：US20240371216A1
公开(公告)日：2024-11-07
申请号：US18774510
申请日：2024-07-16
Inventor： Kristopher Keith Gaudin , Andrew J. Zeglin , Craig Benjamin Cope , Joseph Harr , Aaron Williams
IPC: G07C5/08 , B60W40/08 , B60W40/09 , B60W50/00 , B60W50/04 , B60W50/08 , B60W50/12 , B60W50/14 , G06Q30/0207 , G06Q40/08 , G07C5/00
Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving 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 measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.
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Patent Agency Ranking
公开(公告)号：US20240362692A1
公开(公告)日：2024-10-31
申请号：US18597514
申请日：2024-03-06
Inventor： Aaron Williams , Scott T. Christensen , Joseph P. Harr , Ryan M. Gross
IPC: G06Q30/0601 , G06Q30/0283
CPC classification number: G06Q30/0611 , G06Q30/0283
Abstract: A computer-implemented method may include, by one or more processors and/or associated transceivers: (1) detecting a signal that a buyer would like to purchase a vehicle, wherein the signal indicates a vehicle type of the vehicle; and/or (2) inputting the vehicle type into a generative artificial intelligence (AI) model. The generative AI model is trained on transactional data associated with vehicle purchases to learn a relationship between vehicle purchase terms and buyer characteristics, and is configured to: (i) identify one or more sellers of the vehicle type; (ii) establish a communication coupling with the one or more sellers of the vehicle type; (iii) automatically negotiate, with the one or more sellers, one or more terms for purchasing available vehicles of the vehicle type; and/or (iv) present the terms to the buyer to facilitate purchase of a particular vehicle of the available vehicles from a particular seller.
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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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88.发明公开公开(公告)号：US20240330654A1
公开(公告)日：2024-10-03
申请号：US18216281
申请日：2023-06-29
Inventor： Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
Abstract: A computer system for personalized planning may include one or more processors configured to: receive from a user a request for personalized assistance with an objective, send an identification of the user and a prompt for the personalized assistance with the objective to an ML chatbot (or voice bot) to cause an ML model to divide the objective into one or more discrete steps and generate personalized instructions for performing the one or more discrete steps, receive the personalized instructions for performing the one or more discrete steps from the ML chatbot (or voice bot), and communicate the personalized instructions for performing the one or more discrete steps to the user.
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89.发明公开公开(公告)号：US20240330151A1
公开(公告)日：2024-10-03
申请号：US18215981
申请日：2023-06-29
Inventor： Aaron Williams , Joseph Harr , Scott T. Christensen , Ryan M. Gross
IPC: G06F11/36
CPC classification number: G06F11/3624
Abstract: A computer system for inspecting source code for security vulnerabilities may include one or more processors configured to: send source code and a prompt for code checking to an ML chatbot (or voice bot) to cause an ML model to inspect the source code for security vulnerabilities, determine whether there is a security vulnerability in the source code based on a response from the ML chatbot (or voice bot), and/or responsive to determining that there is a security vulnerability in the source code, communicate the security vulnerability to a user associated with the source code.
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公开(公告)号：US20240289596A1
公开(公告)日：2024-08-29
申请号：US18196700
申请日：2023-05-12
Inventor： Aaron Williams , Scott T. Christensen , Ryan Gross , Joseph P. Harr
IPC: G06N3/0475 , G06Q40/08
CPC classification number: G06N3/0475 , G06Q40/08
Abstract: Systems and methods are described for analyzing home telematics data to generate a dialogue output. The method may include: (1) receiving, by one or more processors, home telematics data at a generative artificial intelligence (AI) model, wherein the home telematics data includes sensor data regarding a property associated with a user; (2) analyzing, by the one or more processors and using the generative AI model, the home telematics data to generate a home telematics analysis for the property; and (3) generating, by the one or more processors and using the generative AI model, a dialogue output (or visual or virtual output for display) to present to the user based upon at least the home telematics analysis, wherein the dialogue output is further generated based upon at least a predicted user understanding of the dialogue output.
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