WIND GUST DETECTION BY AN AUTONOMOUS VEHICLE

    公开(公告)号:US20220126867A1

    公开(公告)日:2022-04-28

    申请号:US17504856

    申请日:2021-10-19

    Applicant: TUSIMPLE, INC.

    Abstract: An autonomous vehicle includes a detection system for identifying the presence changes in wind incident on the autonomous vehicle, particularly wind gusts. The detection system may include one or more wind sensors, particularly those configured to detect wind incident on the vehicle from a direction that is transverse or perpendicular to the direction of motion of the autonomous vehicle. Additionally, systems may be present that correlate the detected wind gusts to changes in the behavior of the autonomous vehicle. The autonomous vehicle may react to the detected wind gusts by altering the vehicle's trajectory, by stopping the vehicle, or by communicating with a control center for further instructions.

    SYSTEMS AND METHODS FOR HANDLING CUT-IN TRAFFIC FOR AUTONOMOUS DRIVING

    公开(公告)号:US20230126540A1

    公开(公告)日:2023-04-27

    申请号:US17966751

    申请日:2022-10-14

    Applicant: TuSimple, Inc.

    Abstract: A method of operating a vehicle, comprises determining, by a computer located in a first vehicle, that an initial distance between the first vehicle and a second vehicle is less than a first distance or a second distance, where the second vehicle is located in a same lane as and in front of the first vehicle; generating, in response to the determining, a sequence of position values and velocity values for the first vehicle, wherein each of the position values and each of the velocity values are associated with a time value; and causing the first vehicle to increase a distance between the first vehicle and the second vehicle by causing the first vehicle to move or operate according to the sequence of position values and velocity values.

    TWO-LEVEL PATH PLANNING FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210403032A1

    公开(公告)日:2021-12-30

    申请号:US16912444

    申请日:2020-06-25

    Applicant: TUSIMPLE, INC.

    Abstract: Described is a two-level optimal path planning process for autonomous tractor-trailer trucks which incorporates offline planning, online planning, and utilizing online estimation and perception results for adapting a planned path to real-world changes in the driving environment. In one aspect, a method of navigating an autonomous vehicle includes determining, by an online server, a current vehicle state of the autonomous vehicle in a mapped driving area. The method includes receiving, by the online server from an offline path library, a path for the autonomous driving vehicle through the mapped driving area from the current vehicle state to a destination vehicle state, and receiving fixed and moving obstacle information. The method includes adjusting the path to generate an optimized path that avoids the fixed and moving obstacles and ends at a targeted final vehicle state, and navigating the autonomous vehicle based on the optimized path.

    DATA-DRIVEN CONTROL FOR AUTONOMOUS DRIVING
    5.
    发明公开

    公开(公告)号:US20240028040A1

    公开(公告)日:2024-01-25

    申请号:US18477012

    申请日:2023-09-28

    Applicant: TUSIMPLE, INC.

    CPC classification number: G05D1/0221 G05D1/0246 G05D1/0219

    Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.

    DATA-DRIVEN CONTROL FOR AUTONOMOUS DRIVING

    公开(公告)号:US20220026912A1

    公开(公告)日:2022-01-27

    申请号:US16934989

    申请日:2020-07-21

    Applicant: TUSIMPLE, INC.

    Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.

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