METHOD AND APPARATUS FOR DETERMINING AUTOMATIC PARKING STRATEGY

    公开(公告)号:US20210114587A1

    公开(公告)日:2021-04-22

    申请号:US17134858

    申请日:2020-12-28

    Abstract: This application provides a method for determining an automatic parking strategy. The method includes: determining, a target parking action corresponding to a current parking stage performing the target parking action; obtaining feedback information, where the feedback information is used to indicate whether a result of performing the target parking action reaches a predetermined objective, and the predetermined objective is a predetermined position of the vehicle relative to a target parking spot, and/or the predetermined objective is a status of the vehicle in the parking process; and updating the automatic parking strategy based on the feedback information. In the foregoing method, the entire parking process is divided into several parking stages, and a control strategy is obtained by using a different method at each stage. This can increase a success rate of automatic parking in a complex parking scenario.

    Method for optimizing decision-making regulation and control, method for controlling traveling of vehicle, and related apparatus

    公开(公告)号:US12168455B2

    公开(公告)日:2024-12-17

    申请号:US18048679

    申请日:2022-10-21

    Abstract: In the method for optimizing decision-making regulation and control, a first traveling sequence is obtained, where the first traveling sequence includes a first trajectory sequence of the vehicle in information about a first environment and first target driving behavior output by a behavior decision-making layer of a decision-making and control system based on the information about the first environment. A second traveling sequence is obtained, where the second traveling sequence includes a second trajectory sequence output by a motion planning layer of the decision-making and control system based on preset second target driving behavior and the second target driving behavior. The behavior decision-making layer is optimized based on a difference between the first traveling sequence and a preset traveling sequence, and the motion planning layer is optimized based on a difference between the second traveling sequence and the preset traveling sequence.

    PARAMETER CALIBRATION METHOD AND APPARATUS
    4.
    发明公开

    公开(公告)号:US20240230383A1

    公开(公告)日:2024-07-11

    申请号:US18610200

    申请日:2024-03-19

    CPC classification number: G01D18/00

    Abstract: This application provides a parameter calibration method and apparatus that may be applied to vehicles such as an intelligent vehicle, a new energy vehicle, a connected vehicle, and an intelligent driving vehicle. The method includes: obtaining evaluation results of parameter combinations of a plurality of devices, where the evaluation results of the parameter combinations of the plurality of devices are obtained by respectively performing calibration tests by the plurality of devices in a first time period based on the parameter combinations of the plurality of devices; and obtaining at least one adjusted parameter combination based on the evaluation results of the parameter combinations of the plurality of devices.

    Method and apparatus for determining automatic parking strategy

    公开(公告)号:US11897454B2

    公开(公告)日:2024-02-13

    申请号:US17134858

    申请日:2020-12-28

    CPC classification number: B60W30/06 B60W60/001 B60W2510/20

    Abstract: This application provides a method for determining an automatic parking strategy. The method includes: determining, a target parking action corresponding to a current parking stage performing the target parking action; obtaining feedback information, where the feedback information is used to indicate whether a result of performing the target parking action reaches a predetermined objective, and the predetermined objective is a predetermined position of the vehicle relative to a target parking spot, and/or the predetermined objective is a status of the vehicle in the parking process; and updating the automatic parking strategy based on the feedback information. In the foregoing method, the entire parking process is divided into several parking stages, and a control strategy is obtained by using a different method at each stage. This can increase a success rate of automatic parking in a complex parking scenario.

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