CORRECTING ERRONEOUS UAV POSITIONING INFORMATION USING SEMANTICALLY SEGMENTED IMAGES

    公开(公告)号:US20240428696A1

    公开(公告)日:2024-12-26

    申请号:US18341660

    申请日:2023-06-26

    Abstract: In some embodiments, a method for autonomous navigation of an unmanned aerial vehicle (UAV) is provided. The UAV determines a tracked position using at least one positioning sensor of the UAV. The UAV captures an image using a camera of the UAV. The UAV determines a visual position confidence area using the captured image. The UAV checks the tracked position using the visual position confidence area to determine whether the tracked position is accurate. In response to determining that the tracked position is not accurate, the UAV causes a corrective action based on the visual position confidence area to be taken.

    Semantic Adjustment of Unmanned Aerial Vehicle Delivery Points

    公开(公告)号:US20230312091A1

    公开(公告)日:2023-10-05

    申请号:US17657538

    申请日:2022-03-31

    Abstract: A method includes capturing, by a sensor on an unmanned aerial vehicle (UAV), an image of a delivery location. The method further includes determining, based on the image of the delivery location, a segmentation image. The segmentation image segments the delivery location into a plurality of pixel areas with corresponding semantic classifications. The method also includes determining, based on the segmentation image, a distance-to-obstacle image of a delivery zone at the delivery location. The distance-to-obstacle image comprises a plurality of pixels, each pixel representing a distance in the segmentation image from a nearest pixel area with a semantic classification indicative of an obstacle in the delivery location. Additionally, the method includes selecting, based on the distance-to-obstacle image, a delivery point in the delivery zone. The method also includes positioning the UAV above the delivery point in the delivery zone for delivery of a payload.

    Pixel-by-pixel segmentation of aerial imagery for autonomous vehicle control

    公开(公告)号:US12242282B2

    公开(公告)日:2025-03-04

    申请号:US17946972

    申请日:2022-09-16

    Abstract: In some embodiments, an unmanned aerial vehicle (UAV) is provided. The UAV comprises one or more processors; a camera; one or more propulsion devices; and a computer-readable medium having instructions stored thereon that, in response to execution by the one or more processors, cause the UAV to perform actions comprising: receiving at least one image captured by the camera; generating labels for pixels of the at least one image by providing the at least one image as input to a machine learning model; identifying one or more landing spaces in the at least one image based on the labels; determining a relative position of the UAV with respect to the one or more landing spaces; and transmitting signals to the one or more propulsion devices based on the relative position of the UAV with respect to the one or more landing spaces.

    VISUAL DETECTION AND LOCALIZATION OF PACKAGE AUTOLOADERS BY UAV

    公开(公告)号:US20240428440A1

    公开(公告)日:2024-12-26

    申请号:US18211919

    申请日:2023-06-20

    Abstract: A technique for a UAV includes: acquiring an aerial image of an area below a UAV that includes one or more instances of an object; analyzing the aerial image with an image classifier to classify select pixels of the aerial image as being keypoint pixels associated with keypoints of the object; grouping the keypoint pixels into one or more groups each associated with one of the instances of the object, wherein first keypoint pixels of the keypoint pixels are grouped into a first group of the one or more groups associated with a first instance of the one or more instances of the object; generating an estimate of a relative position of the UAV to the first instance of the object based at least upon a machine vision analysis of the first keypoint pixels; and navigating the UAV into alignment with the first instance based upon the estimate.

    Method for controlling an unmanned aerial vehicle to avoid obstacles

    公开(公告)号:US12148206B2

    公开(公告)日:2024-11-19

    申请号:US17710503

    申请日:2022-03-31

    Inventor: Ali Shoeb

    Abstract: A computer-implemented method comprises receiving, by an image processing system, a depth image captured by a stereo camera on an unmanned aerial vehicle (UAV). One or more pixels of the depth image are associated with corresponding depth values indicative of distances of one or more objects to the stereo camera. The image processing system determines that one or more pixels of the depth image are associated with invalid depth values. The image processing system infers, based on a distribution of the one or more pixels of the depth image that are associated with invalid depth values, a presence of a potential obstacle in an environment of the UAV. The UAV is controlled based on the inferred presence of the potential obstacle.

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