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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：US10571283B1
公开(公告)日：2020-02-25
申请号：US15482475
申请日：2017-04-07
Inventor： John A. Nepomuceno , Rajiv C. Shah
Abstract: Systems and methods are disclosed for calculating a risk index for one or more areas (e.g., roads, intersections, bridges, and other transportation infrastructure). For instance, high risk intersections may be identified and mapped from historic auto insurance claim data. High risk intersections may be identified because of an excessive number of vehicle collisions there, and/or an amount and extent of vehicle damage, personal injuries, and/or insurance liability expenses associated with, or resulting from, the vehicle collisions at those locations. Risk indices for various areas may be compared to one another, enabling comparison of the relative riskiness of the areas. In some embodiments, a risk map may be generated to visually depict one or more risk indices for areas within a depicted region. The risk map may be used to quickly identify the riskiest area(s) in the region, and to notify government bodies to facilitate repairs and improve road safety.
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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：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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Patent Agency Ranking
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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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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