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公开(公告)号:US09852475B1
公开(公告)日:2017-12-26
申请号:US14713214
申请日:2015-05-15
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
IPC: G06Q40/08
CPC classification number: G06Q40/08 , B60Q9/00 , B60R21/00 , B60R2021/0027 , B60W30/16 , B60W40/09 , B60W2040/0818 , G06K9/00845 , G06Q10/0635 , G06Q20/0855 , G07C5/008 , G07C5/08 , G07C5/0816 , G07C5/085 , G08B21/06 , G08B25/08 , G08G1/005 , G08G1/096725 , G08G1/096741 , G08G1/09675 , G08G1/096758 , G08G1/096775 , G08G1/096783 , G08G1/096791 , G08G1/143 , G08G1/147 , G08G1/164 , G08G1/165 , G08G1/166 , G08G1/167 , G08G1/205 , H04L67/12 , H04L67/20 , H04W4/046 , H04W4/90
Abstract: Methods and systems for evaluating the effectiveness of autonomous operation features of autonomous vehicles using an accident risk model are provided. According to certain aspects, an accident risk model may be determined using effectiveness information regarding autonomous operation features associated with a vehicle. The effectiveness information may indicate a likelihood of an accident for the vehicle and may include test data or actual loss data. Determining the likelihood of an accident may include determining risk factors for the features related to the ability of the features to make control decisions that successfully avoid accidents. The accident risk model may further include information regarding effectiveness of the features relative to location or operating conditions, as well as types and severity of accidents. The accident risk model may further be used to determine or adjust aspects of an insurance policy associated with an autonomous vehicle.
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公开(公告)号:US09754325B1
公开(公告)日:2017-09-05
申请号:US14713266
申请日:2015-05-15
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
CPC classification number: G06Q40/08 , B60Q9/00 , B60R21/00 , B60R2021/0027 , B60W30/16 , B60W40/09 , B60W2040/0818 , G06K9/00845 , G06Q10/0635 , G06Q20/0855 , G07C5/008 , G07C5/08 , G07C5/0816 , G07C5/085 , G08B21/06 , G08B25/08 , G08G1/005 , G08G1/096725 , G08G1/096741 , G08G1/09675 , G08G1/096758 , G08G1/096775 , G08G1/096783 , G08G1/096791 , G08G1/143 , G08G1/147 , G08G1/164 , G08G1/165 , G08G1/166 , G08G1/167 , G08G1/205 , H04L67/12 , H04L67/20 , H04W4/046 , H04W4/90
Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, a virtual log of data regarding performance of the features in a non-test environment may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include evasive maneuvers performed by the vehicle under the control of the features. The performance data in the virtual log may be used to determine risk levels associated with vehicle operation by the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.
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公开(公告)号:US11869092B2
公开(公告)日:2024-01-09
申请号:US17679452
申请日:2022-02-24
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
IPC: G06Q50/22 , G06Q40/08 , G07C5/08 , H04L67/12 , H04W4/90 , H04W4/44 , G07C5/00 , B60W40/09 , G08G1/005 , G08G1/16 , G08G1/0967 , G08G1/14 , G08B21/06 , B60W30/16 , G08G1/00 , G08B25/08 , G06F30/20 , G06Q40/04 , G06V20/59 , G06Q10/0635 , B60Q9/00 , G06Q20/08 , B60R21/00 , G05B15/02 , H04W4/46 , B60W40/08 , G01S19/13 , G06Q50/30 , B60W50/00
CPC classification number: G06Q40/08 , B60Q9/00 , B60R21/00 , B60W30/16 , B60W40/09 , G05B15/02 , G06F30/20 , G06Q10/0635 , G06Q20/0855 , G06Q40/04 , G06V20/597 , G07C5/008 , G07C5/08 , G07C5/0808 , G07C5/0816 , G08B21/06 , G08B25/08 , G08G1/005 , G08G1/09675 , G08G1/096725 , G08G1/096741 , G08G1/096758 , G08G1/096775 , G08G1/096783 , G08G1/096791 , G08G1/143 , G08G1/147 , G08G1/164 , G08G1/165 , G08G1/166 , G08G1/167 , G08G1/205 , H04L67/12 , H04W4/44 , H04W4/90 , B60R2021/0027 , B60W2040/0818 , B60W2050/0095 , B60W2050/0096 , G01S19/13 , G06Q50/30 , G07C5/085 , H04W4/46
Abstract: Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.
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公开(公告)号:US20230334585A1
公开(公告)日:2023-10-19
申请号:US18215690
申请日:2023-06-28
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
IPC: G06Q40/08 , G07C5/08 , H04L67/12 , H04W4/90 , H04W4/44 , G07C5/00 , B60W40/09 , G08G1/005 , G08G1/16 , G08G1/0967 , G08G1/14 , G08B21/06 , B60W30/16 , G08G1/00 , G08B25/08 , G06F30/20 , G06Q40/04 , G06V20/59 , G06Q10/0635 , B60Q9/00 , G06Q20/08 , B60R21/00 , G05B15/02
CPC classification number: G06Q40/08 , G07C5/08 , H04L67/12 , H04W4/90 , H04W4/44 , G07C5/008 , B60W40/09 , G08G1/005 , G08G1/166 , G08G1/096741 , G08G1/096783 , G08G1/147 , G08B21/06 , G08G1/096775 , G08G1/164 , G08G1/096758 , G08G1/165 , B60W30/16 , G08G1/205 , G08G1/096725 , G08G1/09675 , G08G1/143 , G08G1/096791 , G08G1/167 , G08B25/08 , G07C5/0808 , G06F30/20 , G06Q40/04 , G06V20/597 , G07C5/0816 , G06Q10/0635 , B60Q9/00 , G06Q20/0855 , B60R21/00 , G05B15/02 , H04W4/46
Abstract: Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.
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公开(公告)号:US11710188B2
公开(公告)日:2023-07-25
申请号:US17088806
申请日:2020-11-04
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
IPC: G06Q40/08 , G06Q10/10 , G07C5/08 , H04L67/12 , H04W4/90 , H04W4/44 , G07C5/00 , B60W40/09 , G08G1/005 , G08G1/16 , G08G1/0967 , G08G1/14 , G08B21/06 , B60W30/16 , G08G1/00 , G08B25/08 , G06F30/20 , G06Q40/04 , G06V20/59 , G06Q10/0635 , B60Q9/00 , G06Q20/08 , B60R21/00 , G05B15/02 , H04W4/46 , B60W40/08 , G01S19/13 , G06Q50/30 , B60W50/00
CPC classification number: G06Q40/08 , B60Q9/00 , B60R21/00 , B60W30/16 , B60W40/09 , G05B15/02 , G06F30/20 , G06Q10/0635 , G06Q20/0855 , G06Q40/04 , G06V20/597 , G07C5/008 , G07C5/08 , G07C5/0808 , G07C5/0816 , G08B21/06 , G08B25/08 , G08G1/005 , G08G1/09675 , G08G1/096725 , G08G1/096741 , G08G1/096758 , G08G1/096775 , G08G1/096783 , G08G1/096791 , G08G1/143 , G08G1/147 , G08G1/164 , G08G1/165 , G08G1/166 , G08G1/167 , G08G1/205 , H04L67/12 , H04W4/44 , H04W4/90 , B60R2021/0027 , B60W2040/0818 , B60W2050/0095 , B60W2050/0096 , G01S19/13 , G06Q50/30 , G07C5/085 , H04W4/46
Abstract: Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.
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公开(公告)号:US20230222614A1
公开(公告)日:2023-07-13
申请号:US18114476
申请日:2023-02-27
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
IPC: G06Q50/26 , H04N7/18 , G05D1/02 , G06F16/903 , G01S19/13
CPC classification number: G06Q50/265 , H04N7/183 , G05D1/0246 , G06F16/90335 , G01S19/13 , G05D2201/0213
Abstract: Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.
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公开(公告)号:US11656978B1
公开(公告)日:2023-05-23
申请号:US17003674
申请日:2020-08-26
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
CPC classification number: G06F11/3692 , G06F11/3688 , G16Y10/80 , G16Y30/00
Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.
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公开(公告)号:US20220237718A1
公开(公告)日:2022-07-28
申请号:US17718616
申请日:2022-04-12
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.
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公开(公告)号:US11386501B1
公开(公告)日:2022-07-12
申请号:US16803171
申请日:2020-02-27
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
Abstract: Methods and systems for determining fault for an accident involving a vehicle having one or more autonomous and/or semi-autonomous operation features are provided. According to certain aspects, performance data indicative of the performance of the features may be used to determine fault for a vehicle accident, such as a collision, by allocating fault for the accident between a vehicle operator, the autonomous operation features, or a third party. The allocation of fault may be used to determine an adjustment to an insurance policy and/or adjust coverage levels for an insurance policy. The allocation of fault may further be used to adjust risk levels or profiles associated with the autonomous or semi-autonomous operation features, which may be applied to other vehicles having the same or similar features.
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公开(公告)号:US20210294877A1
公开(公告)日:2021-09-23
申请号:US15409445
申请日:2017-01-18
Inventor: Blake Konrardy , Scott T. Christensen , Gregory Hayward , Scott Farris
Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. A server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.
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