CONTROL DEVICE OF COMBINATION VEHICLE

    公开(公告)号:US20250162363A1

    公开(公告)日:2025-05-22

    申请号:US18836660

    申请日:2023-01-31

    Abstract: A combination vehicle includes a tractor including a steered wheel and a trailer towed by the tractor A control device for the combination vehicle includes an estimation unit. The estimation unit estimates a length of the trailer based on a mathematical expression obtained by solving, for the length of the trailer, simultaneous equations including an equation of motion for a hitch angle velocity that is a time rate of change in a hitch angle and an equation of motion for a virtual steering angle velocity that is a time rate of change in a virtual steering angle of the trailer. The mathematical expression includes the virtual steering angle velocity as a parameter.

    Controller for vehicle, computer-readable medium storing control program for vehicle, and control method for vehicle

    公开(公告)号:US12145589B2

    公开(公告)日:2024-11-19

    申请号:US17496279

    申请日:2021-10-07

    Inventor: Yosuke Hashimoto

    Abstract: A controller for a vehicle is configured to execute a process that detects an anomaly of a steering device and a process that performs an automatic turning control that causes the vehicle to turn automatically along a traveling route. The controller is configured to perform the automatic turning control by controlling the steering device when an anomaly of the steering device is not detected. The controller is configured to, when an anomaly of the steering device is detected, calculate, as a predicted value, a load on the substitute device on an assumption that the automatic turning control is performed by activating the substitute device, and perform the automatic turning control by controlling the substitute device when an allowable range that is a set of values of a load allowable to the substitute device includes the predicted value.

    SCENARIO GENERATION DEVICE AND SCENARIO GENERATION METHOD

    公开(公告)号:US20230100091A1

    公开(公告)日:2023-03-30

    申请号:US17936260

    申请日:2022-09-28

    Abstract: A scenario generation device includes: a real environment scene obtaining unit obtaining a real environment scene, which is a scene that occurs in a real environment, from a travel database that stores travel data of a real vehicle; a filter generation unit generating a filter for filtering candidate scenarios based on a frequency analysis result of analysis target data including the travel data showing the real environment scene; and an evaluation scenario determination unit determining an evaluation scenario by filtering the candidate scenarios comprehensively generated based on a mathematical model using the filter generated by the filter generation unit.

    CONTROL DEVICE FOR VEHICLE
    8.
    发明申请

    公开(公告)号:US20230100017A1

    公开(公告)日:2023-03-30

    申请号:US17808521

    申请日:2022-06-23

    Abstract: A control device includes a model generation unit that generates a control model that formulates a task to be executed, and a task processing unit that causes the vehicle to execute the task by performing model prediction control using the control model. Assuming that a first state space is a state space of the control model used at an execution time of the first task, and a second state space is a state space of the control model used at an execution time of the second task, the task processing unit starts to cause the vehicle to execute the second task, after executing a transition process that is a process of making a value of a state variable that is commonly included in both the first state space and the second state space within a predetermined range that is allowed at the execution time of the second task.

    PARKING-SLOT LEARNING METHOD AND APPARATUS

    公开(公告)号:US20250111683A1

    公开(公告)日:2025-04-03

    申请号:US18900204

    申请日:2024-09-27

    Abstract: A processor of an apparatus for learning a recognition rule of at least one parking slot around a vehicle is configured to execute learning program instructions to accordingly objectify at least one parking slot at least partly included in a learning image as an at least one objectified parking slot comprised of (i) a plurality of corner points of the at least one parking slot, (ii) a center point of the at least one parking slot; and (iii) attribute information on the at least one parking slot. The processor is configured to execute learning program instructions to accordingly generate annotation data for the objectified at least one parking slot, and execute, from the learning image, learning of a recognition rule of the at least one parking slot based on the generated annotation data for the objectified at least one parking slot.

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