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

Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

Abstract: The invention relates to an unmanned aerial vehicle (UAV), the operation of a UAV, and the control of a UAV. Aspects of the invention relate to a UAV including a directional distance measuring module for inspecting/surveying/measuring/digitizing the UAV's environment.

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

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

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

Abstract: The invention relates to a computer implemented method for identifying transparent and/or mirroring plane candidates from measurement data resulting from scanning an environment by a laser scanner emitting distance measuring light pulses.

Abstract: The invention relates to a computer implemented UAV control method comprising, in a target selection mode, the steps of displaying on a touch sensitive display a 3D-view of an environment of a UAV; Overlaying a moveable target indicating symbol to the 3D-view of the environment, wherein the target indicating symbol is moveable in the 3D-view by a touch input; While moving the target indicating symbol, continuously determining a location of the target indicating symbol in the 3D-view and dynamically changing the appearance of the target indicating symbol such that it creates the impression of being displayed in an orientation matching the orientation of a face over which the target indicating symbol is located wherein the orientation of the respective face is derived from stored 3D-data or from the 3D-view; And selecting a target based on the location of the target indicating symbol.

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

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

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

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.

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.