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公开(公告)号：US20240391433A1
公开(公告)日：2024-11-28
申请号：US18798238
申请日：2024-08-08
Inventor： Kristopher Keith Gaudin , Roxane Lyons , William J. Leise , John A. Nepomuceno , Rajiv C. Shah , Edward P. Matesevac, III , Jennifer Criswell Kellett , Jeremy Myers , Matthew S. Megyese , Leo Nelson Chan , Steven Cielocha , Jennifer L. Crawford
IPC: B60T8/172 , B60T8/17 , B60T8/1755 , B60W40/06 , B60W50/14 , F16H59/66 , G01N19/02 , G01W1/10 , G06T7/41
Abstract: Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.
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公开(公告)号：US20240143875A1
公开(公告)日：2024-05-02
申请号：US18200275
申请日：2023-05-22
Inventor： Brian Mark Fields , Shawn M. Call , Jaime Skaggs , Matthew S. Megyese
IPC: G06F30/27
CPC classification number: G06F30/27 , G06F2113/08
Abstract: In a computer-implemented method of detecting or predicting water intrusion into a structure from an external environment, data indicative of one or more factors associated with the external environment is received. The method also includes detecting or predicting water intrusion into the structure by analyzing at least the data indicative of the one or more factors associated with the external environment, and causing an indication of the detected or predicted water intrusion to be presented to a user.
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公开(公告)号：US11875366B2
公开(公告)日：2024-01-16
申请号：US17203412
申请日：2021-03-16
Inventor： Leo Nelson Chan , Jacob J. Alt , Matthew S. Megyese , Steven C. Cielocha , Kristopher Keith Gaudin , Brian Mark Fields
IPC: G06Q30/02 , G06Q30/0201 , G07C5/08 , G07C5/00 , G06Q40/08 , G06F16/9535 , G06Q30/0251 , G06Q30/0601 , G06Q10/1053 , G06Q30/0207 , G06Q40/02 , G06Q40/03
CPC classification number: G06Q30/0201 , G06F16/9535 , G06Q10/1053 , G06Q30/0207 , G06Q30/0255 , G06Q30/0269 , G06Q30/0631 , G06Q40/02 , G06Q40/03 , G06Q40/08 , G07C5/008 , G07C5/08
Abstract: In a computer-implemented method, telematics data collected during one or more time periods by one or more electronic subsystems of a vehicle, and/or by a mobile electronic device of the driver or a passenger, is received. The telematics data includes operational data indicative of how a driver of the vehicle operated the vehicle. The received telematics data is analyzed to identify driving behaviors of the driver during the time period(s). Based at least upon the driving behaviors, a driver profile is generated or modified. Based at least upon the generated or modified driver profile, a suggested vehicle type is identified, at least by determining that the profile meets a set of one or more matching criteria associated with the suggested vehicle type. An indication of the suggested vehicle type is displayed to a user.
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4.发明公开公开(公告)号：US20230387481A1
公开(公告)日：2023-11-30
申请号：US17980977
申请日：2022-11-04
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott T. Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: H01M10/4257 , G06Q40/08 , H01M2010/4271 , H01M2220/20
Abstract: A server and non-transitory computer-readable storage medium storing instructions for monitoring one or more batteries of an electric vehicle (EV) comprising computing instructions for (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.
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5.发明公开公开(公告)号：US20230387480A1
公开(公告)日：2023-11-30
申请号：US17980944
申请日：2022-11-04
Inventor： Ryan Michael Gross , Matthew S. Megyese , Joseph P. Harr , Scott Thomas Christensen , Vicki King , Shawn Renee Harbaugh
CPC classification number: H01M10/4257 , G06Q40/08 , H01M2010/4271 , H01M2220/20 , H02J2310/48
Abstract: Computer-implemented methods of monitoring one or more batteries of an electric vehicle (EV) include (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.
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Patent Agency Ranking
公开(公告)号：US20210264512A1
公开(公告)日：2021-08-26
申请号：US15782566
申请日：2017-10-12
Inventor： Kristopher Keith Gaudin , Justin Davis , Jacob J. Alt , Matthew S. Megyese , John Lucas Bothwell
Abstract: Vehicle usage-based data, including telematics data, may be utilized to adjust one or more terms (e.g., a variable interest rate and/or variable principle amount) of a variable vehicle loan. Telematics data may include, for example, data generated via a vehicle data system and/or a mobile electronic device. The one or more terms may be additionally or alternatively be adjusted based upon transportation metrics associated with usage of the vehicle by a transportation network company (TNC) and/or TNC driver.
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公开(公告)号：US20210248641A1
公开(公告)日：2021-08-12
申请号：US17203412
申请日：2021-03-16
Inventor： Leo N. Chan , Jacob J. Alt , Matthew S. Megyese , Steven C. Cielocha , Kristopher Keith Gaudin , Brian Mark Fields
Abstract: In a computer-implemented method, telematics data collected during one or more time periods by one or more electronic subsystems of a vehicle, and/or by a mobile electronic device of the driver or a passenger, is received. The telematics data includes operational data indicative of how a driver of the vehicle operated the vehicle. The received telematics data is analyzed to identify driving behaviors of the driver during the time period(s). Based at least upon the driving behaviors, a driver profile is generated or modified. Based at least upon the generated or modified driver profile, a suggested vehicle type is identified, at least by determining that the profile meets a set of one or more matching criteria associated with the suggested vehicle type. An indication of the suggested vehicle type is displayed to a user.
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公开(公告)号：US10282981B1
公开(公告)日：2019-05-07
申请号：US15966658
申请日：2018-04-30
Inventor： John A. Nepomuceno , Leo Nelson Chan , Steven C. Cielocha , Roxane Lyons , Matthew S. Megyese , William J. Leise , Jennifer Criswell Kellett , Kristopher Keith Gaudin , Jennifer L. Crawford , Jeremy Myers , Edward P. Matesevac, III , Rajiv C. Shah
IPC: G08G1/01 , G08B21/06 , G08G1/0967 , G08G1/16 , G08G1/0962 , G08G1/00
Abstract: A system and method are provided for improving vehicle awareness and safety by generating and transmitting alerts in response to detecting a hazard in the environment omnidirectional to a vehicle awareness system. Omnidirectional environment data, representing kinematic information pertaining to one or more physically detectable elements omnidirectional to the primary vehicle, is acquired by one or more sensors communicatively coupled to a vehicle. The system analyzes the omnidirectional environment data to detect if one or more hazards in the omnidirectional environment data, representing a change in the kinetic behavior of the one or more physically detectable elements omnidirectional to the vehicle awareness system, has occurred. When the system detects one or more hazards in the omnidirectional environment data, the system generates and transmits an alert to vehicles, vehicle operators, mobile devices, or pedestrians at risk from the hazard.
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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.
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10.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.
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