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公开(公告)号：US20240223679A1
公开(公告)日：2024-07-04
申请号：US18608422
申请日：2024-03-18
Inventor： John M. VanAntwerp , Dan Kalmes
IPC: H04L69/08 , G06F8/20 , G06F8/60 , G06F8/70 , G06F11/36 , G06Q10/067 , H04L67/56 , G06F3/04817 , G06F3/0484 , G06F8/10 , G06F8/38 , G06F9/50 , G06Q10/0633 , G06Q40/12 , H04L67/306 , H04L67/50
CPC classification number: H04L69/08 , G06F8/20 , G06F8/60 , G06F8/70 , G06F11/3604 , G06Q10/067 , H04L67/56 , G06F3/04817 , G06F3/0484 , G06F8/10 , G06F8/38 , G06F9/5038 , G06Q10/0633 , G06Q40/123 , H04L67/306 , H04L67/535
Abstract: A method of generating generic protocol handlers includes receiving a user request in a middleware, generating a request payload by analyzing the request in a protocol handler of the middleware, transforming the request payload into a set of canonical types, transmitting the set of canonical types to a path module, receiving a response payload, transforming the response payload in a second protocol handler of the middleware, and transmitting the response to the user.
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公开(公告)号：US12026602B1
公开(公告)日：2024-07-02
申请号：US16529056
申请日：2019-08-01
Inventor： Jeremy T. Cunningham
Abstract: A method of determining a claim value corresponding to a damaged vehicle of a customer includes receiving exception data and image(s) corresponding to the damaged vehicle, generating a set of image parameters by analyzing the one or more image corresponding to the damaged vehicle using a first trained artificial neural network, generating the claim value corresponding to the damaged vehicle by analyzing the set of image parameters and the exception data using a second trained artificial neural network, and transmitting the claim value corresponding to the damaged vehicle. The method may include respective training of the first artificial neural network and second artificial neural network using labeled images and labeled telematics data.
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143.发明授权公开(公告)号：US12026458B2
公开(公告)日：2024-07-02
申请号：US18054769
申请日：2022-11-11
Inventor： Alexander Gataric
IPC: G06F17/00 , G06F16/35 , G06F40/186 , G06V30/10 , G06V30/414
CPC classification number: G06F40/186 , G06F16/355 , G06V30/10 , G06V30/414
Abstract: A template generation system for generating document templates from a mixed set of document types including a template generation server programmed to receive a batch of documents, identify a plurality of text blocks, generate a plurality of clusters, generate a plurality of document arrays corresponding to the plurality of clusters, and compare each document array to each other document array to determine a percentage match. When the percentage match between two or more frameworks exceeds a threshold, the template generation system defines a subset of documents, and for each subset of documents, template generation system generates a template for the subset of documents. The template is a collection of the text blocks that are commonly included in each of the documents of the subset.
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144.发明授权公开(公告)号：US12024069B2
公开(公告)日：2024-07-02
申请号：US17949668
申请日：2022-09-21
Inventor： Scott T. Christensen , Brian M. Fields , Stephen R. Prevatt , Steve Roberson
IPC: B60N2/02 , B60N2/427 , B60R21/013 , B60R21/01
CPC classification number: B60N2/0276 , B60N2/42736 , B60R21/013 , B60R2021/01013 , B60R2021/01252
Abstract: A system and method are provided for controlling an interior configuration of a vehicle following a collision. Sensor data that includes, or is derived from data that includes, data collected by one or more sensors is received, and a vehicle accident condition indicative of an accident having occurred is detected by processing the sensor data. After detecting the vehicle accident condition, an actuator component is caused to prevent a passenger from adjusting an interior vehicle component outside a predetermined range of physical configurations, while allowing the passenger to adjust the interior vehicle component within the predetermined range of physical configurations.
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公开(公告)号：US20240211784A1
公开(公告)日：2024-06-27
申请号：US17074292
申请日：2020-10-19
Inventor： Colin D. Rosendahl , Temitope Ibukunoluwa Oladipo , Adam Benjamin Nunez , Matthew Joshua Tijerina , Adam Smith , Hugens Ulysse
IPC: G06N7/00 , G06F8/30 , G06F8/41 , G06F9/54 , G06F16/901
CPC classification number: G06N7/005 , G06F8/31 , G06F8/433 , G06F9/547 , G06F16/9024
Abstract: A system for creating a processing graph configured to: (i) create the processing graph to include at least a plurality of nodes and one or more edges, each edge of the one or more edges connects a pair of nodes, each node of the graph represents a component of computation performed by at least one program referenced by that node; (ii) identify a first node of the plurality of nodes within the graph; (iii) access a first node definition of the first node from a nodes database, the first node definition identifies a dependency node, the dependency node represents a component of computation that generates output data used by the first node; (iv) add a second node to the graph as a child of the first node, the second node representing the dependency node; and (v) add a first edge to the graph connecting the first node and second node.
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Patent Agency Ranking
146.发明公开公开(公告)号：US20240199034A1
公开(公告)日：2024-06-20
申请号：US18405015
申请日：2024-01-05
Inventor： Aaron Scott Chan , Kenneth J. Sanchez
CPC classification number: B60W40/09 , B60W50/14 , G06V10/34 , G06V20/597 , B60R2300/302 , B60W2040/0872 , B60W2540/30
Abstract: Apparatuses, systems and methods are provided for determining vehicle driver distractions. More particularly, apparatuses, systems and methods are provided for receiving vehicle interior data from at least one vehicle interior sensor, wherein the vehicle interior data is representative of at least one distraction of at least one vehicle occupant that is associated with a position of a body of the at least one vehicle occupant; generating vehicle driving route distraction data based on the vehicle interior data; and providing instructions to the at least one vehicle occupant to return to a normal driving position.
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公开(公告)号：US12014423B1
公开(公告)日：2024-06-18
申请号：US15628367
申请日：2017-06-20
Inventor： Christina P. Mullen , Jeffrey S. Myers , Andrew Karl Pulkstenis , Stephen Russell Prevatt , Robert T. Trefzger
CPC classification number: G06Q40/08
Abstract: A computer-implemented method of determining an indication of whether a vehicle in a crash is a total loss. The method may include (1) receiving (i) image data, (ii) sensor data, and/or (iii) telematics or other data indicative of a direction of a crash force; (2) determining a type of geographic area in which the crash occurred; (3) determining a make, a model, and/or a year of the vehicle; and (4) determining the indication of whether the vehicle is a total loss based upon (i) (a) the image data, (b) the sensor data, and/or (c) the data indicative of the direction of the crash force, (ii) the type of geographic area, and (iii) the make, the model, and/or the year of the vehicle. By determining the indication of whether the vehicle is a total loss based upon such data and/or factors, time may be saved and resources may be conserved.
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148.发明授权公开(公告)号：US12013703B2
公开(公告)日：2024-06-18
申请号：US18304150
申请日：2023-04-20
Inventor： Aaron Scott Chan , Steve Cielocha , Brian Fields
CPC classification number: G05D1/0214 , B60W50/045 , G01C21/3415 , G05D1/0285 , G07C5/008 , B60W2050/046 , B60W2555/20 , B60W2556/50 , B60W2556/65
Abstract: An autonomous vehicle (AV) computing device including at least one processor may be provided. The at least processor may be programmed to (i) receive a proposed trip including a destination location and a departure time, (ii) determine environmental conditions data based on the destination location and the departure time, (iii) retrieve current software ecosystem data for the AV, (iv) retrieve aggregated data for a plurality of AVs, the aggregated data including a plurality of correlations, each correlation including a) an interaction between at least one software application and at least one environmental condition and b) an adverse performance outcome associated with the interaction, (v) compare the environmental conditions data for the proposed trip and the current software ecosystem data for the AV to the plurality of correlations to identify an adverse performance outcome, and (vi) execute a remedial action to avoid the adverse performance outcome.
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公开(公告)号：US12008843B2
公开(公告)日：2024-06-11
申请号：US18160120
申请日：2023-01-26
Inventor： Brian N. Harvey , Nathan L. Tofte
CPC classification number: G07C5/008 , B60R16/0234 , G06Q10/20 , G06Q40/08 , G07C5/0841
Abstract: A computer-based method for maintaining an autonomous or self-driving vehicle is provided. The method is implemented using a vehicle controlling (“VC”) computer device installed on the vehicle. The method may include determining that a maintenance operation is required for the self-driving vehicle, retrieving an operator schedule for an operator of the self-driving vehicle, retrieving a facility schedule for a facility, determining a time for performing the maintenance operation based upon the operator schedule, the facility schedule, and an amount of time required to (i) complete the maintenance operation, (ii) drive the self-driving vehicle from a first location to the facility to arrive at the determined time, and (iii) drive the self-driving vehicle to a second location, instructing the self-driving vehicle to drive from the first location to the facility to arrive at the determined time; and/or instructing the self-driving vehicle to drive from the facility a second location.
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150.发明授权公开(公告)号：US12008781B1
公开(公告)日：2024-06-11
申请号：US17088393
申请日：2020-11-03
Inventor： Alexander Cardona , Kip Wilson , David Frank , Phillip Michael Wilkowski , Nolan White
IPC: G06T7/70 , G01C21/34 , G01C21/36 , G05D1/00 , G06F16/58 , G06F16/587 , G06Q40/08 , G06T7/20 , G06T7/292 , G06V20/54 , G06V20/56 , G06V20/58
CPC classification number: G06T7/70 , G01C21/3461 , G01C21/3484 , G01C21/3602 , G05D1/0088 , G06F16/5866 , G06F16/587 , G06Q40/08 , G06T7/20 , G06T7/292 , G06V20/54 , G06V20/56 , G06V20/58 , G06V20/584 , G06T2207/30252
Abstract: 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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