-
公开(公告)号：US12125002B2
公开(公告)日：2024-10-22
申请号：US17673171
申请日：2022-02-16
Inventor： Jody Ann Thoele , Jaime Skaggs , Scott Thomas Christensen , Ashish Sawhney , Neill Broadstone , Angela Glusick , Gustufus Phillip Theofanis
IPC: G06Q10/20 , G06N20/00 , G06Q30/0283 , G06Q40/08
CPC classification number: G06Q10/20 , G06N20/00 , G06Q30/0283 , G06Q40/08
Abstract: Systems and methods for determining a reparability of a vehicle are provided. In some embodiments, vehicle data is obtained, and a list of variables is generated from the obtained data. A machine learning algorithm may then be trained to generate a reparability metric by: (i) generating correlation metrics between the variables and costs to repair the vehicle, (ii) removing variables with correlation metrics below a threshold, and (iii) training the machine learning algorithm based upon unremoved variables.
-
2.发明授权公开(公告)号：US12002105B2
公开(公告)日：2024-06-04
申请号：US17840858
申请日：2022-06-15
Abstract: A computer implemented method for determining a primary movement window from a vehicle trip is presented. A client computing device may be placed in a vehicle, be free to move with respect to movement of the vehicle, and include an accelerometer. A computer network may receive a plurality of telematics data originating from the client computing device. One or more processors may select one or more data points from the telematics data, and determine that a total spectral power of the selected data points meets a threshold value. The one or more processors may identify a primary movement window including the selected data points if the total spectral power of the selected data points does not meet the threshold value.
-
公开(公告)号：US20240177121A1
公开(公告)日：2024-05-30
申请号：US18431328
申请日：2024-02-02
Inventor： Joseph Robert Brannan , Ryan Michael Gross , Matthew Eric Riley, SR. , Darwin Gene Beachy , Michael Aaron Myers , Brian N. Harvey , Benjamin Joel Tucker , Scott Thomas Christensen
Abstract: Described herein are methods and systems for generating and applying vehicle maintenance models to vehicle telematics data. A vehicle telematics analytics (VTA) computing device is configured to receive vehicle telematics data associated with operation of a subject vehicle, and apply the received vehicle telematics data to a vehicle maintenance model to determine whether the operation of the subject vehicle is better or worse than standard operation of like vehicles. The VTA computing device may adjust a maintenance cost and/or determine if a user of the vehicle is eligible for a reward based upon this determination. The VTA computing device is configured to transmit an itemized report to the user including the adjusted maintenance cost and/or the reward as well as one or more other vehicle costs.
-
公开(公告)号：US11900330B1
公开(公告)日：2024-02-13
申请号：US17071163
申请日：2020-10-15
Inventor： Joseph Robert Brannan , Ryan Michael Gross , Matthew Eric Riley, Sr. , Darwin Gene Beachy , Michael Aaron Myers , Brian N. Harvey , Benjamin Joel Tucker , Scott Thomas Christensen
Abstract: Described herein are methods and systems for generating and applying vehicle maintenance models to vehicle telematics data. A vehicle telematics analytics (VTA) computing device is configured to receive vehicle telematics data associated with operation of a subject vehicle, and apply the received vehicle telematics data to a vehicle maintenance model to determine whether the operation of the subject vehicle is better or worse than standard operation of like vehicles. The VTA computing device may adjust a maintenance cost and/or determine if a user of the vehicle is eligible for a reward based upon this determination. The VTA computing device is configured to transmit an itemized report to the user including the adjusted maintenance cost and/or the reward as well as one or more other vehicle costs.
-
公开(公告)号：US20230410575A1
公开(公告)日：2023-12-21
申请号：US17887214
申请日：2022-08-12
Inventor： Ryan Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Harbaugh
CPC classification number: G07C5/0816 , B60L58/16 , G06K7/1417 , G07C2205/02 , G07C5/0841
Abstract: A computer-implemented method in a mobile computing device for tracking health and usage of electric vehicle (EV) batteries using Quick Response (QR) codes (or NFC or RFID tags) is provided. The method may include (1) capturing, by a camera associated with a mobile computing device, an image of a tag affixed to an EV; (2) analyzing the image of the tag affixed to the EV; (3) identifying, by the one or more processors of the mobile computing device, the EV based upon analyzing the image of the tag affixed to the EV; (4) determining vehicle battery data associated with a rechargeable battery that powers the identified EV; (5) determining based upon the vehicle battery data associated with the rechargeable battery that powers the identified EV, a battery status indication corresponding to the identified EV; and/or (6) providing, via a user interface, the battery status indication corresponding to the identified EV.
-
Patent Agency Ranking
6.发明公开公开(公告)号：US20230399024A1
公开(公告)日：2023-12-14
申请号：US17947677
申请日：2022-09-19
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: B60W60/0023 , G01C21/3469 , G01C21/3461 , B60L58/16 , B60W2510/18
Abstract: A computer-implemented method of predicting and providing an efficient driving route for an electric vehicle (EV) based upon battery health impact includes (i) receiving geographical telematics data; (ii) generating one or more driving routes for the electric vehicle based upon at least the geographical telematics data; (iii) predicting a projected battery health impact on a battery of the electric vehicle for each driving route of the one or more driving routes, wherein the projected battery health impact for each driving route is based at least upon geographical characteristics of the driving route; (iv) determining one or more battery-efficient driving route recommendations based upon at least the projected battery health impact for each driving route; and/or (v) providing the one or more battery-efficient driving route recommendations to a user.
-
公开(公告)号：US10309785B1
公开(公告)日：2019-06-04
申请号：US15476171
申请日：2017-03-31
Inventor： Sunish Shreenarayan Menon , David J. Dosher , Scott Thomas Christensen
Abstract: A method for determining a yaw angle estimate or vehicle heading direction is presented. A potential range of yaw angles is generated based on a plurality of primary telematics data. One or more yaw angle estimates are generated from the potential range of yaw angles. A driving pattern is determined based on at least one of the yaw angle estimates. The primary telematics data is a plurality of telematics data originated from a client computing device. The effects of gravity have been removed from the plurality of telematics data in a first primary movement window.
-
公开(公告)号：US12190660B2
公开(公告)日：2025-01-07
申请号：US17673037
申请日：2022-02-16
Inventor： Jody Ann Thoele , Jaime Skaggs , Scott Thomas Christensen , Ashish Sawhney , Neill Broadstone , Angela Glusick , Gustufus Phillip Theofanis
Abstract: Systems and methods for building a vehicle data repository (VDR) are provided. In some embodiments, the VDR is constructed by adding standardized build sheets to it. The standardized build sheets may be constructed by selecting data from various data sources (e.g., original equipment manufacturer (OEM) databases, National Highway Traffic Safety Administration (NHTSA) databases, Highway Loss Data Institute (HLDI) databases, and/or Insurance Institute for Highway Safety (IIHS) databases). Furthermore, a common ontology may be created and applied to the various data sources to aide in the selection of data between the data sources to construct the standardized build sheets.
-
公开(公告)号：US11966980B2
公开(公告)日：2024-04-23
申请号：US17464941
申请日：2021-09-02
Inventor： Scott Thomas Christensen , Gregory Hayward , Steven Cielocha , Todd Binion
IPC: G06Q40/00 , G06Q10/0635 , G06Q30/0251 , G06Q40/08
CPC classification number: G06Q40/08 , G06Q10/0635 , G06Q30/0266
Abstract: Methods and systems for improving vehicular safety by notifying vehicle operators of location-based risks are provided. According to embodiments, a processing server may receive an initial location of a vehicle. Based on location data associated with the initial location, the processing server can determine the risk of an incident. The processing server can generate a notification to communicate to the vehicle operator, and the vehicle operator can assess the risk and take action to mitigate the risk, for example by relocating the vehicle. The processing server can receive updated location data for the vehicle and can determine, based on the updated location data, that the risk has been mitigated.
-
10.发明公开公开(公告)号：US20230398901A1
公开(公告)日：2023-12-14
申请号：US17947625
申请日：2022-09-19
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: B60L58/13 , B60L53/36 , B60L53/53 , B60W60/001 , B60W2510/08
Abstract: A computer-implemented method of monitoring one or more batteries of an electric vehicle (EV) includes (i) detecting an indication of a battery failure event for an electric vehicle; (ii) determining a response to the battery failure event based upon the indication; (iii) determining, based upon the battery failure event, an assistance location for the electric vehicle; (iv) generating a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and (v) transmitting a command to the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.
-
-
-
-
-
-
-
-
-
Search Results
60
records
(took 0.031 seconds)
