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    Backup Navigation System for Unmanned Aerial Vehicles
    1.
    发明公开
    Backup Navigation System for Unmanned Aerial Vehicles 审中-公开

    公开(公告)号：US20230244250A1

    公开(公告)日：2023-08-03

    申请号：US18133648

    申请日：2023-04-12

    申请人： Wing Aviation LLC

    发明人： Dinuka Abeywardena ,  Damien Jourdan

    IPC分类号： G05D1/10 ,  G01C11/06 ,  G01C21/32 ,  G06V20/17 ,  B64D47/08

    CPC分类号： G05D1/106 ,  G01C11/06 ,  G01C21/32 ,  G06V20/17 ,  B64D47/08 ,  B64U2101/30

    摘要： Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.

    Backup navigation system for unmanned aerial vehicles
    3.
    发明授权
    Backup navigation system for unmanned aerial vehicles 有权

    公开(公告)号：US10908622B2

    公开(公告)日：2021-02-02

    申请号：US16411576

    申请日：2019-05-14

    申请人： Wing Aviation LLC

    发明人： Dinuka Abeywardena ,  Damien Jourdan

    IPC分类号： G05D1/00 ,  G06K9/00 ,  G05D1/10 ,  B64D47/08 ,  G01C11/06 ,  G01C21/32

    摘要： Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.

    SYSTEMS AND METHODS FOR GENERATING ANNOTATIONS OF STRUCTURED, STATIC OBJECTS IN AERIAL IMAGERY USING GEOMETRIC TRANSFER LEARNING AND PROBABILISTIC LOCALIZATION
    6.
    发明申请
    SYSTEMS AND METHODS FOR GENERATING ANNOTATIONS OF STRUCTURED, STATIC OBJECTS IN AERIAL IMAGERY USING GEOMETRIC TRANSFER LEARNING AND PROBABILISTIC LOCALIZATION 有权

    公开(公告)号：US20210133997A1

    公开(公告)日：2021-05-06

    申请号：US16669309

    申请日：2019-10-30

    申请人： Wing Aviation LLC

    发明人： Dinuka Abeywardena

    IPC分类号： G06T7/70

    摘要： In some embodiments, aerial images of a geographic area are captured by an autonomous vehicle. In some embodiments, the locations of structures within a subset of the aerial images are manually annotated, and geographical locations of the manual annotations are determined based on pose information of the camera. In some embodiments, a machine learning model is trained using the manually annotated aerial images. The machine learning model is used to automatically generate annotations of other images of the geographic area, and the geographical locations determined from the manual annotations are used to determine an accuracy probability of the automatic annotations. The automatic annotations determined to be accurate may be used to re-train the machine learning model to increase its precision and recall.

    Backup navigation system for unmanned aerial vehicles
    9.
    发明授权
    Backup navigation system for unmanned aerial vehicles 有权

    公开(公告)号：US10387727B2

    公开(公告)日：2019-08-20

    申请号：US15703948

    申请日：2017-09-13

    申请人： Wing Aviation LLC

    发明人： Dinuka Abeywardena ,  Damien Jourdan

    IPC分类号： G06K9/00 ,  G05D1/10 ,  B64D47/08 ,  G01C11/06 ,  G01C21/32

    摘要： Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.