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公开(公告)号：US11656094B1
公开(公告)日：2023-05-23
申请号：US17008906
申请日：2020-09-01
Inventor： Leo N. Chan , Kristopher Keith Gaudin , Roxane Lyons , William J. Leise , John A. Nepomuceno , Rajiv C. Shah , Edward P. Matesevac, III , Jennifer Criswell Kellett , Steven C. Cielocha , Jeremy Myers , Matthew S. Megyese , Jennifer L. Crawford
CPC classification number: G01C21/3697 , B60W40/09 , G01C21/32 , G01C21/3667 , G01C21/3691 , G01S19/01 , G06F3/0481 , G06Q40/08 , G09B9/052
Abstract: Systems and methods are disclosed for educating vehicle drivers. Auto insurance claim data may be analyzed to identify hazardous areas associated with an abnormally high amount or severity of vehicle collisions. A virtual navigation map of roads within the hazardous areas may be built or generated. A common cause of several vehicle collisions at a hazardous area may be identified, and a virtual reconstruction of a scenario involving the common cause and/or a road map of collisions locations of may be created. The virtual reconstruction of the scenario may be displayed on a driver education virtual simulator to enhance driver education and reduce the likelihood of vehicle collisions.
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公开(公告)号：US11205340B2
公开(公告)日：2021-12-21
申请号：US17235042
申请日：2021-04-20
Inventor： John A. Nepomuceno , Steven C. Cielocha , Roxane Lyons , Matthew S. Megyese , William J. Leise , Jennifer Criswell Kellett , Kristopher Keith Gaudin , Jennifer L. Crawford , Jeremy Myers , Rajiv C. Shah , Edward P. Matesevac, III , Leo N. Chan
IPC: G08G1/01 , G08G1/16 , G08B21/06 , G08G1/0962 , G08G1/0967 , 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 ta 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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13.发明申请公开(公告)号：US20210323788A1
公开(公告)日：2021-10-21
申请号：US16987138
申请日：2020-08-06
Inventor： Leo Chan , Kristopher Keith Gaudin , Roxane Lyons , William J. Leise , John A. Nepomuceno , Rajiv C. Shah , Edward P. Matesevac, III , Jennifer Criswell Kellett , Steven C. Cielocha , Jeremy Myers , Matthew S. Megyese , Jennifer L. Crawford
IPC: B66B1/46
Abstract: Systems and methods for control systems for facilitating situational awareness of a vehicle are provided. Sensors located around a vehicle may detect moving objects located in one or more vehicle blind spots. These moving objects pose potentially dangerous situations for the vehicle occupants and for the object. The sensors may further determine that the moving object is a cyclist approaching a vehicle blind spot, and that the vehicle is parked. Processors associated with the vehicle may then direct a corrective action, such as automatically locking the vehicle doors, to prevent a vehicle-cyclist collision. The systems and methods provided herein may thereby make these and similar situations safer.
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公开(公告)号：US10930158B1
公开(公告)日：2021-02-23
申请号：US16513874
申请日：2019-07-17
Inventor： John A. Nepomuceno , Leo 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
Abstract: Systems and methods are disclosed for identifying high risk parking lots. High risk parking lots may be, for example, parking lots that pose a higher than average risk of collisions and/or theft. Auto insurance claim data may be analyzed to identify hazardous areas. A virtual navigation of roads within the hazardous area may be identified. Public parking lots within the virtual navigation map may be defined, with each public parking lot determined as either in a hazardous area or not. A vehicle may be determined to be approaching or parking in a parking lot in a hazardous area, and a nearby public parking lot not associated with the hazardous area may be selected instead. A route from a current position to the nearby public parking lot may be generated, and the vehicle may be routed to the nearby public parking lot. As a result, collisions and thefts may be reduced.
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公开(公告)号：US10026309B1
公开(公告)日：2018-07-17
申请号：US15482524
申请日：2017-04-07
Inventor： John A. Nepomuceno , Leo 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: G08G1/09 , G08G1/01 , G08G1/0967 , G08G1/00 , G08G1/0962 , G08G1/16 , G08B21/06
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 ta 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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Patent Agency Ranking
公开(公告)号：US10019904B1
公开(公告)日：2018-07-10
申请号：US15482506
申请日：2017-04-07
Inventor： Leo Nelson Chan , Kristopher Keith Gaudin , Roxane Lyons , William J. Leise , John A. Nepomuceno , Rajiv C. Shah , Edward P. Matesevac, III , Jennifer Criswell Kellett , Steven C. Cielocha , Jeremy Myers , Matthew S. Megyese , Jennifer L. Crawford
IPC: B60Q1/22 , B60Q1/26 , G08G1/00 , G01C21/34 , G06Q40/08 , G08G1/14 , G06Q10/06 , G01C21/36 , G08G1/0967
CPC classification number: G08G1/205 , G01C21/3461 , G01C21/3685 , G06Q10/0635 , G06Q40/08 , G08G1/096708 , G08G1/096783 , G08G1/148
Abstract: Systems and methods are disclosed for identifying high risk parking lots. High risk parking lots may be, for example, parking lots that pose a higher than average risk of collisions and/or theft. Auto insurance claim data may be analyzed to identify hazardous areas. A virtual navigation of roads within the hazardous area may be identified. Public parking lots within the virtual navigation map may be defined, with each public parking lot determined as either in a hazardous area or not. A vehicle may be determined to be approaching or parking in a parking lot in a hazardous area, and a nearby public parking lot not associated with the hazardous area may be selected instead. A route from a current position to the nearby public parking lot may be generated, and the vehicle may be routed to the nearby public parking lot. As a result, collisions and thefts may be reduced.
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公开(公告)号：US12084026B2
公开(公告)日：2024-09-10
申请号：US17966536
申请日：2022-10-14
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 , G05D1/00 , G06T7/41
CPC classification number: B60T8/1725 , B60T8/1701 , B60T8/17558 , B60W40/06 , B60W50/14 , F16H59/66 , G01N19/02 , G01W1/10 , G05D1/0223 , G05D1/0246 , G06T7/41 , B60T2210/12 , B60W2555/20 , G06T2207/30252
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：US20240141628A1
公开(公告)日：2024-05-02
申请号：US18200279
申请日：2023-05-22
Inventor： Brian Mark Fields , Shawn M. Call , Jaime Skaggs , Matthew S. Megyese
IPC: E03B7/07
Abstract: A computer-implemented method of monitoring water usage includes generating and receiving first water usage data indicating a first plurality of water usage events associated with a structure, each of the first plurality of water usage events being associated with a respective location and/or entity. The method may also include generating, based upon the first water usage data, a baseline water usage model representing water usage over time locations and/or entities, and generating second water usage data indicating a second plurality of water usage events associated with the structure, each of the second plurality of water usage events being associated with a respective location and/or entity. The method may also include detecting, based upon the second water usage data and the baseline water usage model, anomalous water usage associated with a particular location and/or entity, and causing an indication of the anomalous water usage to be presented to a user.
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公开(公告)号：US20240095761A1
公开(公告)日：2024-03-21
申请号：US18524395
申请日：2023-11-30
Inventor： Leo Nelson Chan , Jacob J. Alt , Matthew S. Megyese , Steven C. Cielocha , Kristopher Keith Gaudin , Brian Mark Fields
IPC: G06Q30/0201 , G06F16/9535 , G06Q10/1053 , G06Q30/0207 , G06Q30/0251 , G06Q30/0601 , G06Q40/02 , G06Q40/03 , G06Q40/08 , G07C5/00 , G07C5/08
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, alert responsiveness data indicating how responsive a driver is to one or more types of vehicle alerts is received. The method also includes generating or modifying a driver profile associated with the driver, the driver profile including alert responsiveness profile information based upon the alert responsiveness data, and identifying, based at least upon the generated or modified driver profile, a suggested vehicle type. Identifying the suggested vehicle type includes determining that the generated or modified driver profile meets a set of one or more matching criteria associated with the suggested vehicle type at least in part by determining that the alert responsiveness profile information meets one or more criteria indicative of reliability of the suggested vehicle type. The method also includes causing an indication of the suggested vehicle type to be displayed to a user.
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公开(公告)号：US20230406140A1
公开(公告)日：2023-12-21
申请号：US17887218
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: B60L53/65 , B60L58/12 , B60L53/68 , B60L53/66 , G06Q30/0645
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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