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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：US11232708B1
公开(公告)日：2022-01-25
申请号：US16914032
申请日：2020-06-26
Inventor： Brian Mark Fields , John A. Nepomuceno , Scott Thomas Christensen , Duane Christiansen , Steven C. Cielocha , Kristopher Keith Gaudin , Michael Bernico , Nathan L. Tofte , Steve Roberson
Abstract: Systems and methods for real-time detection and mitigation anomalous behavior of a remote vehicle are provided, e.g., vehicle behavior that is consistent with distracted or unexpectedly disabled driving. On-board and off-board sensors associated with a subject vehicle may monitor the subject vehicle's environment, and behavior characteristics of a remote vehicle operating within the subject vehicle's environment may be determined based upon collected sensor data. The remote vehicle's behavior characteristics may be utilized to detect or determine the presence of anomalous behavior, which may be anomalous for the current contextual conditions of the vehicles' environment. Mitigating actions for detected remote vehicle anomalous behaviors may be suggested and/or automatically implemented at the subject vehicle and/or at proximate vehicles to avoid or reduce the risk of accidents, injury, or death resulting from the anomalous behavior. In some situations, authorities may be notified.
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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：US10089692B1
公开(公告)日：2018-10-02
申请号：US14592277
申请日：2015-01-08
Inventor： Kenneth J. Sanchez , Aaron Scott Chan , Matthew R. Baker , Matthew Zettinger , John A. Nepomuceno , Brian Mark Fields
IPC: G06Q40/08
Abstract: A method comprises retrieving data about vehicle operator behavior via a computer network and clustering the data about vehicle operator behavior into a plurality of groups of data, each of the plurality of groups of data representing a type of movement of the vehicle operator. The method further includes determining a numerical level of risk corresponding to each of the plurality of groups of data by executing a learning routine and generating a communication to be transmitted to user of a remote computing device. The communication is based on the one or more of the numerical levels of risk or the types of movements corresponding to the plurality of groups of data.
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Patent Agency Ranking
公开(公告)号：US08954340B2
公开(公告)日：2015-02-10
申请号：US13897650
申请日：2013-05-20
Inventor： Kenneth J. Sanchez , Aaron S. Chan , Matthew R. Baker , Matthew Zettinger , John A. Nepomuceno , Brian Fields
IPC: G06Q40/08
Abstract: A method for ascertaining the risk associated with the driver of a vehicle utilizes three-dimensional (3D) motion sensing data. A server gathers motion sensing data from one or more motion sensing modules and clusters the motion sensing data into movement categories. The server then assigns an indication of risk to at least some of the movement categories and combines the motion sensing data from a plurality of movement categories to generate a collective measure of risk associated with the driver of the vehicle.
Abstract translation: 用于确定与车辆驾驶员相关联的风险的方法利用三维（3D）运动感测数据。 服务器从一个或多个运动感测模块收集运动感测数据，并将运动感测数据聚类成移动类别。 然后，服务器向至少一些运动类别分配风险指示，并组合来自多个运动类别的运动感测数据以产生与车辆驾驶员相关联的风险的集体测量。
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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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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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