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公开(公告)号：US12078991B2
公开(公告)日：2024-09-03
申请号：US17354326
申请日：2021-06-22
Applicant: GoPro, Inc.
Inventor： Sammy Omari , Pascal Gohl , Axel Murguet , Garance Bruneau , Fabio Diem , Lukas Schmid
IPC: G05D1/00 , B64C39/02 , B64U30/20 , G06T7/73 , G06T7/80 , H04N7/18 , B64U10/14 , B64U20/87 , B64U101/30
CPC classification number: G05D1/0094 , G05D1/0022 , G05D1/0038 , G06T7/74 , G06T7/80 , H04N7/185 , B64U10/14 , B64U20/87 , B64U2101/30 , B64U2201/10 , B64U2201/20 , G06T2207/10032 , G06T2207/30244
Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.
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公开(公告)号：US09963243B1
公开(公告)日：2018-05-08
申请号：US15297903
申请日：2016-10-19
Applicant: GoPro, Inc.
Inventor： Lukas Schmid , Jean-Bernard Berteaux , Fabio Diem , Sammy Omari , Thomas Gubler
CPC classification number: B64D45/00 , B64C39/024 , B64C2201/024 , B64C2201/042 , B64C2201/123 , B64C2201/146 , G05D1/0038
Abstract: The disclosure describes systems and methods for detecting an aerial vehicle landing. One method includes performing at least two of a plurality of landing tests to detect the landing of the aerial vehicle. The plurality of landing tests include a static test, a thrust test, and a shock test. Upon a detection of the landing by one of the at least two landing tests performed, the method further includes performing a free-fall test to detect a free fall of the aerial vehicle. The free fall of the aerial vehicle is a change in altitude of the aerial vehicle above an altitude change threshold. Upon a lack of a detection of the free fall by the free-fall test, the method includes setting a landed state for the aerial vehicle. Upon a detection of the free fall by the free-fall test, the method includes setting an in-air state for the aerial vehicle.
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公开(公告)号：US12045055B2
公开(公告)日：2024-07-23
申请号：US17354326
申请日：2021-06-22
Applicant: GoPro, Inc.
Inventor： Sammy Omari , Pascal Gohl , Axel Murguet , Garance Bruneau , Fabio Diem , Lukas Schmid
CPC classification number: G05D1/0094 , B64C39/024 , G05D1/0022 , G05D1/0038 , G06T7/74 , G06T7/80 , H04N7/185 , B64U10/13 , B64U30/20 , B64U2201/10 , B64U2201/20 , G06T2207/10032 , G06T2207/30244
Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.
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Patent Agency Ranking
公开(公告)号：US11048257B2
公开(公告)日：2021-06-29
申请号：US15906738
申请日：2018-02-27
Applicant: GoPro, Inc.
Inventor： Sammy Omari , Pascal Gohl , Axel Murguet , Garance Bruneau , Fabio Diem , Lukas Schmid
Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.
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公开(公告)号：US20190227556A1
公开(公告)日：2019-07-25
申请号：US15906738
申请日：2018-02-27
Applicant: GoPro, Inc.
Inventor： Sammy Omari , Pascal Gohl , Axel Murguet , Garance Bruneau , Fabio Diem , Lukas Schmid
Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.
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公开(公告)号：US20180105285A1
公开(公告)日：2018-04-19
申请号：US15297903
申请日：2016-10-19
Applicant: GoPro, Inc.
Inventor： Lukas Schmid , Jean-Bernard Berteaux , Fabio Diem , Sammy Omari , Thomas Gubler
CPC classification number: B64D45/00 , B64C39/024 , B64C2201/024 , B64C2201/042 , B64C2201/123 , B64C2201/146 , G05D1/0038
Abstract: The disclosure describes systems and methods for detecting an aerial vehicle landing. One method includes performing at least two of a plurality of landing tests to detect the landing of the aerial vehicle. The plurality of landing tests include a static test, a thrust test, and a shock test. Upon a detection of the landing by one of the at least two landing tests performed, the method further includes performing a free-fall test to detect a free fall of the aerial vehicle. The free fall of the aerial vehicle is a change in altitude of the aerial vehicle above an altitude change threshold. Upon a lack of a detection of the free fall by the free-fall test, the method includes setting a landed state for the aerial vehicle. Upon a detection of the free fall by the free-fall test, the method includes setting an in-air state for the aerial vehicle.
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公开(公告)号：US12111659B2
公开(公告)日：2024-10-08
申请号：US17354326
申请日：2021-06-22
Applicant: GoPro, Inc.
Inventor： Sammy Omari , Pascal Gohl , Axel Murguet , Garance Bruneau , Fabio Diem , Lukas Schmid
IPC: G05D1/00 , B64C39/02 , B64U30/20 , G06T7/73 , G06T7/80 , H04N7/18 , B64U10/14 , B64U20/87 , B64U101/30
CPC classification number: G05D1/0094 , G05D1/0022 , G05D1/0038 , G06T7/74 , G06T7/80 , H04N7/185 , B64U10/14 , B64U20/87 , B64U2101/30 , B64U2201/10 , B64U2201/20 , G06T2207/10032 , G06T2207/30244
Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.
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公开(公告)号：US20210389764A1
公开(公告)日：2021-12-16
申请号：US17354326
申请日：2021-06-22
Applicant: GoPro, Inc.
Inventor： Sammy Omari , Pascal Gohl , Axel Murguet , Garance Bruneau , Fabio Diem , Lukas Schmid
Abstract: Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.
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