Evaluating operator reliance on vehicle alerts

    公开(公告)号:US11842300B1

    公开(公告)日:2023-12-12

    申请号:US16992198

    申请日:2020-08-13

    CPC classification number: G06Q40/08

    Abstract: A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

    AUTOMATICALLY TRACKING DRIVING ACTIVITY

    公开(公告)号:US20210053579A1

    公开(公告)日:2021-02-25

    申请号:US17092589

    申请日:2020-11-09

    Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.

    USING HOME TELEMATICS DATA TO IDENTIFY RECOMMENDATIONS ASSOCIATED WITH HOME WARRANTY PRODUCT COVERAGE

    公开(公告)号:US20240393776A1

    公开(公告)日:2024-11-28

    申请号:US16158513

    申请日:2018-10-12

    Abstract: Techniques are disclosed to monitor home telematics data to identify the overall health of home devices to be covered, or that are currently covered, by a home warranty. The home telematics data may include information relating to the electrical usage of various home devices, which may be obtained via an electrical monitoring (EM) device. Using the home telematics data, a home warranty provider may identify the current health of home devices, identify signs of early failure, suggest recommended preventative maintenance, and/or allocate a portion of the premium payments to carrying out the preventative maintenance. Thus, by leveraging collected home telematics data and tracking this data over time, a home warranty provider may accurately price home warranties, mitigate risk, and potentially prevent costlier claims by anticipating and addressing issues before repairs are needed.

    EVALUATING OPERATOR RELIANCE ON VEHICLE ALERTS

    公开(公告)号:US20240087044A1

    公开(公告)日:2024-03-14

    申请号:US18517466

    申请日:2023-11-22

    CPC classification number: G06Q40/08

    Abstract: A system and computer-implemented method detect and act upon operator reliance to vehicle alerts. The system and method include receiving user profile data of an operator that includes a baseline of at least one driving activity aided by activation of an alert from a feature of an Advanced Driver Assistance System (ADAS). The system and method may include receiving historical ADAS alert frequency data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the user profile data with the historical ADAS alert frequency data, determine a reliance level based upon the comparing, and set at least a portion of an operator profile associated with the operator with the reliance level. As a result, a risk averse driver, and/or proper responsiveness to vehicle alerts may be rewarded with insurance-cost savings, such as increased discounts.

    Automatically tracking driving activity

    公开(公告)号:US10960895B1

    公开(公告)日:2021-03-30

    申请号:US16053881

    申请日:2018-08-03

    Abstract: A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.

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