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    Semantic adjustment of unmanned aerial vehicle delivery points
    2.
    发明授权
    Semantic adjustment of unmanned aerial vehicle delivery points 有权

    公开(公告)号：US12221211B2

    公开(公告)日：2025-02-11

    申请号：US17657538

    申请日：2022-03-31

    Applicant: Wing Aviation LLC

    Inventor： Ali Shoeb ,  Marcus Hammond ,  Christopher Cobar ,  Kyle Krafka ,  Kyle Julian ,  Kevin Jenkins

    IPC: B64C39/02 ,  G05D1/00 ,  G05D1/04 ,  G06V20/17 ,  G06V20/58 ,  B64U101/60 ,  G06Q10/08

    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.

    COMPRESSING A SCENE INTO A GENERATIVE NEURAL NETWORK FOR UAV SCENE ANALYSIS APPLICATIONS
    3.
    发明申请
    COMPRESSING A SCENE INTO A GENERATIVE NEURAL NETWORK FOR UAV SCENE ANALYSIS APPLICATIONS 有权

    公开(公告)号：US20250046064A1

    公开(公告)日：2025-02-06

    申请号：US18229512

    申请日：2023-08-02

    Applicant: WING Aviation LLC

    Inventor： Ali Shoeb ,  Domitille Commun

    IPC: G06V10/774 ,  B64U10/20 ,  B64U101/30 ,  B64U101/60 ,  G06T7/579 ,  G06T7/593 ,  G06T9/00 ,  G06T15/20 ,  G06V10/82 ,  G06V20/17

    Abstract: A technique performed by UAV delivery system includes: arriving by a UAV of over a destination area; capturing a plurality of aerial images of a scene at the destination area with an onboard camera system of the UAV while flying above the destination area, wherein the aerial images capture the scene from a plurality of UAV vantage points offset from each other; optimizing weights of a generative neural network (GNN) using at least some of the aerial images as a training dataset to encode a volumetric representation of the scene into the GNN, wherein the weights are optimized by an onboard processing system of the UAV; and communicating the GNN with the weights optimized to a backend datacenter in communication with the UAV to transmit the volumetric representation of the scene over which the UAV flew without transmitting the aerial images themselves to the backend datacenter.

    Detection of environmental changes to delivery zone
    5.
    发明授权
    Detection of environmental changes to delivery zone 有权

    公开(公告)号：US11587241B2

    公开(公告)日：2023-02-21

    申请号：US16887404

    申请日：2020-05-29

    Applicant: WING Aviation LLC

    Inventor： Ali Shoeb ,  Dinuka Abeywardena

    IPC: G06T7/246 ,  G06T7/174 ,  B64C39/02

    Abstract: A technique for detecting an environmental change to a delivery zone via an unmanned aerial vehicle includes obtaining an anchor image and an evaluation image, each representative of the delivery zone, providing the anchor image and the evaluation image to a machine learning model to determine an embedding score associated with a distance between representations of the anchor image and the evaluation image within an embedding space, and determining an occurrence of the environmental change to the delivery zone when the embedding score is greater than a threshold value.

    DETECTION OF ENVIRONMENTAL CHANGES TO DELIVERY ZONE
    6.
    发明申请
    DETECTION OF ENVIRONMENTAL CHANGES TO DELIVERY ZONE 有权

    公开(公告)号：US20210374975A1

    公开(公告)日：2021-12-02

    申请号：US16887404

    申请日：2020-05-29

    Applicant: WING Aviation LLC

    Inventor： Ali Shoeb ,  Dinuka Abeywardena

    IPC: G06T7/246 ,  B64C39/02 ,  G06T7/174

    Abstract: A technique for detecting an environmental change to a delivery zone via an unmanned aerial vehicle includes obtaining an anchor image and an evaluation image, each representative of the delivery zone, providing the anchor image and the evaluation image to a machine learning model to determine an embedding score associated with a distance between representations of the anchor image and the evaluation image within an embedding space, and determining an occurrence of the environmental change to the delivery zone when the embedding score is greater than a threshold value.

    AUTONOMOUS DETECT AND AVOID FROM SPEECH RECOGNITION AND ANALYSIS
    7.
    发明公开
    AUTONOMOUS DETECT AND AVOID FROM SPEECH RECOGNITION AND ANALYSIS 审中-公开

    公开(公告)号：US20240201696A1

    公开(公告)日：2024-06-20

    申请号：US18066220

    申请日：2022-12-14

    Applicant: WING AVIATION LLC

    Inventor： John Mooney ,  Ali Shoeb

    IPC: G05D1/10 ,  B64C39/02 ,  G10L15/26

    CPC classification number: G05D1/1064 ,  B64C39/024 ,  G05D1/104 ,  G10L15/26 ,  B64U2101/64

    Abstract: A technique for detecting and avoiding obstacles by an unmanned aerial vehicle (UAV) includes: querying a knowledge graph having information related to a dynamic obstacle that may be in proximity to the UAV when traveling along a planned route; comparing the location of the dynamic obstacle to the UAV to detect conflicts; and in response to detecting a conflict, performing an action to avoid conflict with the dynamic obstacle. The knowledge graph can be updated by receiving a VHF radio signal containing the information related to the dynamic obstacle in the audible speech format; translating the audible speech format to a text format using speech recognition; analyzing the text format for relevant information related to the dynamic obstacle; comparing the relevant information related to the dynamic obstacle of the text format to the knowledge graph to detect changes; and updating the knowledge graph.

    Automatic Selection of Delivery Zones Using Survey Flight 3D Scene Reconstructions
    8.
    发明公开
    Automatic Selection of Delivery Zones Using Survey Flight 3D Scene Reconstructions 审中-公开

    公开(公告)号：US20240168493A1

    公开(公告)日：2024-05-23

    申请号：US18056710

    申请日：2022-11-17

    Applicant: Wing Aviation LLC

    Inventor： Ali Shoeb

    IPC: G05D1/12 ,  B64C39/02 ,  B64D47/08 ,  B64U10/00 ,  G05D1/10

    CPC classification number: G05D1/12 ,  B64C39/024 ,  B64D47/08 ,  B64U10/00 ,  G05D1/101 ,  B64U2101/64

    Abstract: A method includes navigating, by an uncrewed aerial vehicle (UAV), to a delivery location in an environment. The method also includes capturing, by at least one sensor on the UAV, sensor data representative of the delivery location. The method further includes determining, based on the sensor data representative of the delivery location, a segmented point cloud. The segmented point cloud defines a point cloud of the delivery location segmented into a plurality of point cloud areas with corresponding semantic classifications. The method additionally includes determining, based on the segmented point cloud, at least one delivery point in the delivery location. The at least one delivery point in the delivery location satisfies at least one condition indicating that a descent path above the at least one delivery point represented in the point cloud is at least a particular lateral distance away from point cloud areas with corresponding semantic classifications indicative of an obstacle at the delivery location. The method also includes transmitting, by the UAV, the at least one delivery point to a server device.

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