CAMERA CONFIGURATION ON MOVABLE OBJECTS
    21.
    发明申请

    公开(公告)号:US20200073411A1

    公开(公告)日:2020-03-05

    申请号:US16670365

    申请日:2019-10-31

    Abstract: A method includes receiving a plurality of images from an imaging device carried by a movable object. The method further includes determining whether an environment type of the movable object is a first type or a second type according to sensing data received from one or more sensors of the movable object, identifying a target based on the plurality of images using a first method in response to determining that the environment type is the first type and using a second method different from the first method in response to determining that the environment type is the second type, and determining state information of the movable object or the target based on the plurality of images.

    SYSTEM AND METHOD FOR ADJUSTING A BASELINE OF AN IMAGING SYSTEM WITH MICROLENS ARRAY
    27.
    发明申请
    SYSTEM AND METHOD FOR ADJUSTING A BASELINE OF AN IMAGING SYSTEM WITH MICROLENS ARRAY 有权
    用微调阵列调整成像系统的基线的系统和方法

    公开(公告)号:US20160301916A1

    公开(公告)日:2016-10-13

    申请号:US15183744

    申请日:2016-06-15

    Abstract: A system for establishing a baseline of a stereoscopic imaging device having a microlens array and methods for making and using the same. The system acquires an object distance between the microlens array and an object of interest and selects first and second lenses from the microlens array based upon the acquired object distance. The system likewise can perform simultaneous localization and mapping (SLAM) with the imaging device. In one embodiment, the system can acquire first and second stereoscopic frames with the microlens array. The system thereby can measure rotations of the second stereoscopic frame with an Inertial Measurement Unit (IMU) and match the first and second stereoscopic frames by combining the rotation data with the first and second stereoscopic frames. The system thereby can enable SLAM systems to perform more accurately and more practically in various indoor and/or outdoor environments.

    Abstract translation: 一种用于建立具有微透镜阵列的立体成像装置的基线的系统及其制造和使用方法。 系统获取微透镜阵列和感兴趣物体之间的物体距离,并且基于获取的物体距离从微透镜阵列中选择第一和第二透镜。 该系统同样可以与成像装置同时进行定位和映射(SLAM)。 在一个实施例中,系统可以利用微透镜阵列获取第一和第二立体帧。 因此,该系统可以用惯性测量单元(IMU)测量第二立体帧的旋转,并通过将旋转数据与第一和第二立体帧组合来匹配第一和第二立体帧。 因此,该系统可以使SLAM系统能够在各种室内和/或室外环境中更精确地和更实际地执行。

    OBSTACLE AVOIDANCE DURING TARGET TRACKING

    公开(公告)号:US20250148634A1

    公开(公告)日:2025-05-08

    申请号:US19020608

    申请日:2025-01-14

    Abstract: A method for controlling a movable object includes determining, based on current location information of an obstacle, whether the obstacle is located within a certain distance range from the movable object, and in response to determining that the obstacle is located within the certain distance range from the movable object: determining, based on the current location information of the obstacle, whether the obstacle meets a first distance criterion or a second distance criterion, to obtain a determination result, and performing a first adjustment or a second adjustment on one or more movement characteristics of the movable object based on the determination result. The first adjustment is different from the second adjustment. One of the first adjustment and the second adjustment includes changing a movement direction of the movable object from a first direction to a second direction. The first direction is opposite to the second direction.

    SYSTEMS AND METHODS FOR COORDINATING DEVICE ACTIONS

    公开(公告)号:US20240377831A1

    公开(公告)日:2024-11-14

    申请号:US18672311

    申请日:2024-05-23

    Abstract: Systems, methods, and computer-readable storage devices for obstacle detection may include an exemplary method of obstacle detection by a computing device. The method includes receiving a first dataset indicating a first surrounding with a first perspective; receiving a second dataset indicating a second surrounding with a second perspective; and generating a composite dataset from the first and second datasets. The method additionally includes identifying an obstacle using the composite dataset.

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