Detection of environmental changes to delivery zone

    公开(公告)号:US11587241B2

    公开(公告)日:2023-02-21

    申请号:US16887404

    申请日:2020-05-29

    申请人: WING Aviation LLC

    IPC分类号: G06T7/246 G06T7/174 B64C39/02

    摘要: 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

    公开(公告)号:US20210374975A1

    公开(公告)日:2021-12-02

    申请号:US16887404

    申请日:2020-05-29

    申请人: WING Aviation LLC

    IPC分类号: G06T7/246 B64C39/02 G06T7/174

    摘要: 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.

    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

    申请人: Wing Aviation LLC

    摘要: 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.

    AUTONOMOUS DETECT AND AVOID FROM SPEECH RECOGNITION AND ANALYSIS

    公开(公告)号:US20240201696A1

    公开(公告)日:2024-06-20

    申请号:US18066220

    申请日:2022-12-14

    申请人: WING AVIATION LLC

    发明人: John Mooney Ali Shoeb

    IPC分类号: G05D1/10 B64C39/02 G10L15/26

    摘要: 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.