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公开(公告)号：US20240428696A1
公开(公告)日：2024-12-26
申请号：US18341660
申请日：2023-06-26
Applicant: WING AVIATION LLC
Inventor： Ali Shoeb , Damien Jourdan , Jeremie Gabor
IPC: G08G5/00 , B64U10/20 , G06V10/764 , G06V20/17
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.
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2.发明申请公开(公告)号：US20240419180A1
公开(公告)日：2024-12-19
申请号：US18741364
申请日：2024-06-12
Applicant: Wing Aviation LLC
Inventor： Marcus Hammond , Jeremie Gabor , Reia Cho
IPC: G05D1/244 , G05D1/246 , G05D109/20 , G06T7/73
Abstract: An uncrewed aerial vehicle (UAV) may be configured to hover above a particular charging pad within a portion of a cluster of charging pads for UAVs. The cluster may include the charging pads arranged in a layout and fiducial markers distributed at positions across the layout. While hovering above the particular charging pad, the UAV may capture an aerial image of the portion of the cluster. The UAV may derive cluster-portion observation data from the image, the cluster-portion observation data including information indicating a position of the particular charging pad, and positions of one or more fiducial markers within the portion of the cluster relative to the particular charging pad. The UAV may send the cluster-portion observation data to a computing system in an infrastructure support network for UAVs, and thereafter receive, from the computing system, location information indicating that UAV's geolocation is a geolocation of the particular charging pad.
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公开(公告)号：US20240019589A1
公开(公告)日：2024-01-18
申请号：US17864031
申请日：2022-07-13
Applicant: WING Aviation LLC
Inventor： Kevin Jenkins , Damien Jourdan , Jeremie Gabor
CPC classification number: G01S19/485 , G01S19/40 , G01S19/26
Abstract: Systems and methods for validating a position of an unmanned aerial vehicle (UAV) are provided. A method can include receiving map data for a location, the map data including labeled data for a plurality of landmarks in a vicinity of the location. The method can include generating image data for the location, the image data being derived from images of the vicinity generated by the UAV including at least a subset of the plurality of landmarks. The method can include determining a visual position of the UAV using the image data and the map data. The method can include determining a Global Navigation Satellite System (GNSS) position of the UAV. The method can include generating an error signal using the visual position and the GNSS position. The method can also include validating the GNSS position in accordance with the error signal satisfying a transition condition.
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Patent Agency Ranking
公开(公告)号：US12242282B2
公开(公告)日：2025-03-04
申请号：US17946972
申请日：2022-09-16
Applicant: WING AVIATION LLC
Inventor： Christopher Cobar , Jeremie Gabor , Ali Shoeb
IPC: G05D1/00 , B64C39/02 , B64U101/30 , G06V10/75 , G06V20/17
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.
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公开(公告)号：US12235369B2
公开(公告)日：2025-02-25
申请号：US17864031
申请日：2022-07-13
Applicant: WING Aviation LLC
Inventor： Kevin Jenkins , Damien Jourdan , Jeremie Gabor
Abstract: Systems and methods for validating a position of an unmanned aerial vehicle (UAV) are provided. A method can include receiving map data for a location, the map data including labeled data for a plurality of landmarks in a vicinity of the location. The method can include generating image data for the location, the image data being derived from images of the vicinity generated by the UAV including at least a subset of the plurality of landmarks. The method can include determining a visual position of the UAV using the image data and the map data. The method can include determining a Global Navigation Satellite System (GNSS) position of the UAV. The method can include generating an error signal using the visual position and the GNSS position. The method can also include validating the GNSS position in accordance with the error signal satisfying a transition condition.
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公开(公告)号：US20240212205A1
公开(公告)日：2024-06-27
申请号：US18163183
申请日：2023-02-01
Applicant: WING AVIATION LLC
Inventor： Jeremie Gabor , Damien Jourdan , Ali Shoeb
CPC classification number: G06T7/74 , B64U20/87 , G06V20/17 , G06V20/70 , B64U2101/30 , G06T2207/10032
Abstract: In some embodiments, a method of determining an estimated location of a UAV is provided. A captured image is received from a camera of the UAV. Semantic labels are generated by the UAV for a plurality of objects visible in the captured image. The UAV compares the semantic labels to reference labels associated with a reference map to determine a current location estimate. The UAV updates an accumulated location estimate using the current location estimate, and the UAV determines the estimated location of the UAV based on the accumulated location estimate.
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公开(公告)号：US20240094743A1
公开(公告)日：2024-03-21
申请号：US17946972
申请日：2022-09-16
Applicant: WING AVIATION LLC
Inventor： Christopher Cobar , Jeremie Gabor , Ali Shoeb
CPC classification number: G05D1/0676 , B64C39/024 , G05D1/0808 , G05D1/101 , G06V10/751 , G06V20/17 , B64C2201/127 , B64C2201/141
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.
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公开(公告)号：US20230316741A1
公开(公告)日：2023-10-05
申请号：US17710516
申请日：2022-03-31
Applicant: Wing Aviation LLC
Inventor： Ali Shoeb , Kyle Kakligian , Damien Jourdan , Michael Zhong , Ke Xu , Jeremie Gabor
CPC classification number: G06V20/17 , B64C39/024 , G06K9/6259 , G06N20/00 , B64C2201/127
Abstract: A computer-implemented method comprises receiving an image captured by a camera on an unmanned aerial vehicle (UAV). The image depicts an environment below the UAV. A feature mask associated with the image is generated via a machine learning model that is trained to identify and semantically label pixels representing the environment depicted in the image. One or more reference tiles associated with the environment are retrieved. The reference tiles are associated with particular geographic locations and specify semantically labeled pixels representing the geographic locations. The semantically labeled pixels of the feature mask are correlated with the semantically labeled pixels of at least one of the one or more reference tiles to determine the geographic location of the UAV in the environment.
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