IN-VEHICLE ADVERTISEMENT PRESENTATION SYSTEMS AND METHODS

    公开(公告)号:US20240289844A1

    公开(公告)日:2024-08-29

    申请号:US18173511

    申请日:2023-02-23

    IPC分类号: G06Q30/0251

    CPC分类号: G06Q30/0266 G06Q30/0269

    摘要: In-vehicle advertisement presentation systems and methods are disclosed herein. An example method includes determining vehicle information for a trip, the vehicle information including any one or more of a current vehicle location, a vehicle speed, a drive mode, and/or traffic information, determining user information, the user information including any one or more of a route prediction for the trip, a speed prediction for the trip, and/or a destination, determining user preferences for advertisements from any one or more of audio signals within the vehicle and/or historical user data, selecting a number of the advertisements to present to the user during the trip, and providing the advertisements to the user during the trip through a human-machine interface (HMI) of the vehicle.

    DOCKING SYSTEM AND ASSOCIATED METHOD
    73.
    发明公开

    公开(公告)号:US20240288869A1

    公开(公告)日:2024-08-29

    申请号:US18173923

    申请日:2023-02-24

    摘要: A docking system is provided. The docking system includes a docking station and an autonomous mobile robot (AMR). The AMR includes a processor, a camera electrically connected to the processor, a lidar system electrically connected to the processor, and a memory. The memory may have instructions that, when executed by the processor, cause the processor to perform operations including employ the camera and the lidar system to determine an offset position and a final position of the AMR with respect to the docking station, and dock the AMR at the docking station using the offset and final positions.

    Neural network object pose determination

    公开(公告)号:US12073588B2

    公开(公告)日:2024-08-27

    申请号:US17484159

    申请日:2021-09-24

    摘要: A camera is positioned to obtain an image of an object. The image is input to a neural network that outputs a three-dimensional (3D) bounding box for the object relative to a pixel coordinate system and object parameters. Then a center of a bottom face of the 3D bounding box is determined in pixel coordinates. The bottom face of the 3D bounding box is located in a ground plane in the image. Based on calibration parameters for the camera that transform pixel coordinates into real-world coordinates, a) a distance from the center of the bottom face of the 3D bounding box to the camera relative to a real-world coordinate system and b) an angle between a line extending from the camera to the center of the bottom face of the 3D bounding box and an optical axis of the camera are determined. The calibration parameters include a camera height relative to the ground plane, a camera focal distance, and a camera tilt relative to the ground plane. A six degree-of-freedom (6DoF) pose for the object is determined based on the object parameters, the distance, and the angle.