Systems and methods for allocating vehicle costs between vehicle users for anticipated trips

    公开(公告)号:US11972487B1

    公开(公告)日:2024-04-30

    申请号:US17190990

    申请日:2021-03-03

    CPC classification number: G06Q40/08 G06Q30/0283 G07C5/008 G07C5/02

    Abstract: Vehicle costs may be allocated between users of a vehicle, including autonomous vehicles. A vehicle cost allocation (VCA) computing device receives an anticipated trip report associated with an anticipated future trip, the anticipated trip report associated with at least one vehicle user including an anticipated driver of the vehicle and an anticipated passenger, the anticipated trip report including at least one of an anticipated destination and a distance of the anticipated future trip. The VCA computing device is also configured to determine one or more anticipated vehicle costs for the anticipated future trip. The vehicle costs may include usage-based or trip-based insurance. The VCA computing device is also configured to allocate a respective portion of the vehicle cost to the anticipated driver and passenger and transmit the anticipated vehicle costs to for review by the anticipated driver.

    VIRTUAL TESTING OF AUTONOMOUS ENVIRONMENT CONTROL SYSTEM

    公开(公告)号:US20230205684A1

    公开(公告)日:2023-06-29

    申请号:US18117642

    申请日:2023-03-06

    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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