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公开(公告)号：US11002540B1
公开(公告)日：2021-05-11
申请号：US16170197
申请日：2018-10-25
Inventor： Nathan L Tofte , Timothy W Ryan , Nathan W Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N Harvey , Roxane Lyons , Rosemarie Geier Grant
Abstract: Unmanned aerial vehicles (UAVs) may facilitate the generation of a virtual reconstruction model of a vehicle collision. UAVs may collect data (including images) related to the vehicle collision, such as with the insured's permission, which may be received by an external computing device associated with the insurer and utilized to perform a photogrammetric analysis of the images to determine vehicle impact points, the road layout at the scene of the collision, the speeds and directions of vehicles, etc. This data may be used to generate a virtual reconstruction model of the vehicle collision. An insurer may use the virtual reconstruction model to perform various insurance-related tasks, such as allocating fault to drivers or autonomous vehicles involved in the vehicle collision, and adjustment of insurance pricing based upon the fault allocation. As a result, innocent drivers or vehicles may not be unfairly penalized for vehicle collisions not their fault.
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32.发明授权公开(公告)号：US10933881B1
公开(公告)日：2021-03-02
申请号：US16599602
申请日：2019-10-11
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 Cielocha , Jeremy Myers , Matthew S. Megyese , Jennifer L. Crawford
Abstract: Systems and methods are disclosed for adjusting autonomous vehicle driving behavior. A controller of the autonomous vehicle may utilize an aggression factor to adjust control of the autonomous vehicle. The autonomous vehicle may detect one or more characteristics of proximate vehicles, analyze the one or more characteristics to estimate an aggression level of the proximate vehicles, and adjust the aggression factor based on the estimated aggression level.
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公开(公告)号：US10535103B1
公开(公告)日：2020-01-14
申请号：US14858699
申请日：2015-09-18
Inventor： Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08
Abstract: The present embodiments relate to detecting fraudulent insurance claims. According to certain aspects, a central monitoring server may receive and examine data detected by at least one unmanned vehicle and generate an estimated insurance claim for a loss event. The central monitoring server may then receive an actual insurance claim relating to the loss event, and may compare the estimated insurance claim to the actual insurance claim to identify potential buildup included in the actual insurance claim. If buildup is detected, the central monitoring server may then process the actual insurance claim accordingly based upon the potential buildup. As a result, claim monies may be paid to insureds that more accurately reflect actual losses resulting from the loss event, and insurance cost savings may be ultimately passed onto typical insurance customers.
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公开(公告)号：US10410289B1
公开(公告)日：2019-09-10
申请号：US14858075
申请日：2015-09-18
Inventor： Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08
Abstract: Unmanned aerial vehicles (UAVs) may facilitate insurance-related tasks. UAVs may actively be dispatched to an area surrounding an insured or potentially insured asset, such as with the insurance customer's permission, and collect data related to the insured or potentially insured asset, such as size, height, roof shape, materials (siding, roofing), etc. which may form a basis of the underwriting detail used to evaluate a property. The drone data may reveal site characteristics, such as slope or grade of a parcel; the proximity to other structures (and their uses); trees; rivers; coastlines; and earthquake faults. The drone data may be used by an insurance provider remote server to assess the risk associated with an insured asset, generate or modify an insurance premium or discount, etc. The drone data may also be used to mitigate risk and prevent loss by alerting policyholders of the risk such that corrective action may be taken.
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35.发明授权公开(公告)号：US10233679B1
公开(公告)日：2019-03-19
申请号：US15482472
申请日：2017-04-07
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
Abstract: Systems and methods for control systems for facilitating situational awareness of a vehicle are provided. Sensors located around a stationary vehicle may detect moving objects that pose potentially dangerous situations for the vehicle occupants and for the object. This can cause the doors to lock automatically in order to make the situation safer. Additionally, electromagnetic radiation sensors located around the vehicle may detect the lights and sounds of emergency vehicles. If the electromagnetic data from the electromagnetic radiation sensors match a known pattern of electromagnetic data emitted by emergency vehicles stored in a library an alarm may be sounded through the speakers of the vehicle in order to alert the vehicle occupants of an emergency vehicle in the vicinity.
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Patent Agency Ranking
公开(公告)号：US10204518B1
公开(公告)日：2019-02-12
申请号：US15951275
申请日：2018-04-12
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
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：US10102589B1
公开(公告)日：2018-10-16
申请号：US14858076
申请日：2015-09-18
Inventor： Nathan L. Tofte , Timothy W. Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
Abstract: Unmanned aerial vehicles (UAVs) may facilitate insurance-related tasks. UAVs may actively be dispatched to an insured asset and the area surrounding an insured asset, such as with the policyholder or insured's permission and collect data related to the insured asset, such as images, video, audio, weather conditions, thermal signatures, wood and soil samples, etc., and transmit this data to a computing device. The computing device may be associated with and/or utilized by an insurance provider to perform insurance-related tasks, such as processing the data to determine an amount of risk associated with the insured asset. If the amount of risk has increased, the computing device may provide a recommendation to a mobile device of the policyholder on how to reduce the risk such that corrective action may be taken. Insurance discounts may be provided based upon following recommendations that mitigate risk.
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公开(公告)号：US20170292848A1
公开(公告)日：2017-10-12
申请号：US15482290
申请日：2017-04-07
Inventor： John A. Nepomuceno , Rajiv C. Shah , Leo Nelson Chan , Steven Cielocha , Roxane Lyons , Matthew S. Megyese , William J. Leise , Jennifer Criswell Kellett , Kristopher Keith Gaudin , Jennifer L. Crawford , Jeremy Myers , Edward P. Matesevac, III
IPC: G01C21/34
CPC classification number: G01C21/3492 , G01C21/3461
Abstract: Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further select a travel route for a vehicle based upon the risk index.
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39.发明申请公开(公告)号：US20250045840A1
公开(公告)日：2025-02-06
申请号：US18920846
申请日：2024-10-18
Inventor： Nathan L. Tofte , Timothy Ryan , Nathan W. Baumann , Michael Shawn Jacob , Joshua David Lillie , Brian N. Harvey , Roxane Lyons , Rosemarie Geier Grant
IPC: G06Q40/08 , B64C39/02 , B64D47/08 , B64U10/00 , B64U10/14 , B64U101/00 , B64U101/30 , G01C11/02 , G06F18/22 , G06Q40/00 , G06T7/00 , G06T7/20 , G06T7/246 , G06T7/73 , G06T11/60 , G06T17/05 , G06V10/42 , G06V20/10 , G06V20/40 , H04N5/44 , H04N7/18
Abstract: Systems and methods are described for using data collected by unmanned aerial vehicles (UAVs) to generate insurance claim estimates that an insured individual may quickly review, approve, or modify. When an insurance-related event occurs, such as a vehicle collision, crash, or disaster, one or more UAVs are dispatched to the scene of the event to collect various data, including data related to vehicle or real property (insured asset) damage. With the insured's permission or consent, the data collected by the UAVs may then be analyzed to generate an estimated insurance claim for the insured. The estimated insurance claim may be sent to the insured individual, such as to their mobile device via wireless communication or data transmission, for subsequent review and approval. As a result, insurance claim handling and/or the online customer experience may be enhanced.
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公开(公告)号：US11727495B1
公开(公告)日：2023-08-15
申请号：US17064971
申请日：2020-10-07
Inventor： John A. Nepomuceno , Rajiv C. Shah , Leo Nelson Chan , Steven Cielocha , Roxane Lyons , Matthew S. Megyese , William J. Leise , Jennifer Criswell Kellett , Kristopher Keith Gaudin , Jennifer L. Crawford , Jeremy Myers , Edward P. Matesevac, III
CPC classification number: G06Q40/08 , B60Q9/008 , G01C21/3697 , G05D1/0061 , G05D1/0214 , G01S19/13 , G05D1/0088 , G05D1/0236 , G05D1/0257
Abstract: Systems and methods relate to, inter alia, calculating a collision risk index for an area based upon historical traffic data. The systems and methods may further generate a notification to automatically engage or disengage an autonomous, or semi-autonomous, vehicle control feature in a vehicle based upon the collision risk index for the area. The systems and methods may further transmit the notification to a device of the vehicle to facilitate automatically engaging or disengaging an autonomous, or semi-autonomous, vehicle control feature in the vehicle as the vehicle approaches the area. As a result, vehicle collisions may be reduced, and vehicle safety enhanced.
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