Abstract: An unmanned aerial vehicle (“UAV”), the UAV includes an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller configured to: determine a geographic location and a velocity of the UAV, the velocity includes a first component and a second component. The flight controller is configured to determine a distance between the geographic location of the UAV and a closest segment of a no-fly zone. The flight controller is configured to determine a zone of deceleration, the zone of deceleration comprising: a distal section and a proximal section. The flight controller in response to the UAV crossing a switch point, located at an intersection of the distal section and the proximal section, changing a deceleration rate of the UAV from a first deceleration rate to a second deceleration rate by adjusting the electric speed controller and the thrust motors.

Abstract: An unmanned aerial vehicle (“UAV”), the UAV including an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller is configured to: determine a geographic location and a velocity of the UAV. The flight controller configured to: determine a distance between the geographic location of the UAV and a closest segment of a no-fly-zone. The flight controller in response to the distance being less than a threshold distance, control a speed and thrust applied by the thrust motors through the electric speed controller to reduce both the first component and the second component of the velocity of the UAV based on the distance. The flight controller configured to: override a user input received via a user interface so that the UAV is moved relative to the closest segment of a no-fly-zone according to instructions from the flight controller.

Abstract: The invention relates to a strip aerator (1) for airing or gassing liquids, comprising an elastically deformable upper film section (3) having openings (6) for forming a flat membrane, and a through-opening (19) for the passing of a gas out of an inlet channel (21) into a gas-guiding chamber (5, 5a) that is bordered at the top by an upper film section (3) and at the bottom by an elastically deformable lower film section (4), the chamber being free from supporting bodies and/or supporting structures, the lower film section (4) being gas-tightly connected to the upper film section (3) such that an elastically deformable body is formed that is gas-tightly enclosed at the top and bottom by the film sections (3, 4), where lateral receiving regions (15) run at least at opposing sides (SL, SS) of the strip aerator (1) for connecting the strip aerator (1) to a retaining element (2), at least one of said film sections (3, 4) being connected to first securing means (8, 9) running, in certain regions or continuously, at

Abstract: An unmanned aerial vehicle (“UAV”), the UAV including an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller is configured to: determine a geographic location and a velocity of the UAV. The flight controller configured to: determine a distance between the geographic location of the UAV and a closest segment of a no-fly-zone. The flight controller in response to the distance being less than a threshold distance, control a speed and thrust applied by the thrust motors through the electric speed controller to reduce both the first component and the second component of the velocity of the UAV based on the distance. The flight controller configured to: override a user input received via a user interface so that the UAV is moved relative to the closest segment of a no-fly-zone according to instructions from the flight controller.

Abstract: Controlling an unmanned aerial vehicle to traverse a portion of an operational environment of the unmanned aerial vehicle may include obtaining an object detection type, obtaining object detection input data, obtaining relative object orientation data based on the object detection type and the object detection input data, and performing an object avoidance operation based on the relative object orientation data. The object detection type may be monocular object detection, which may include obtaining the relative object orientation data by obtaining motion data indicating a change of spatial location for the unmanned aerial vehicle between obtaining the first image and obtaining the second image based on searching along epipolar lines to obtain optical flow data.

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: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

Abstract: Controlling an unmanned aerial vehicle to traverse a portion of an operational environment of the unmanned aerial vehicle may include obtaining an object detection type, obtaining object detection input data, obtaining relative object orientation data based on the object detection type and the object detection input data, and performing a collision avoidance operation based on the relative object orientation data. The object detection type may be monocular object detection, which may include obtaining the relative object orientation data by obtaining motion data indicating a change of spatial location for the unmanned aerial vehicle between obtaining the first image and obtaining the second image based on searching along epipolar lines to obtain optical flow data.

Abstract: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

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: The present disclosure relates to a container with an encasement, the encasement surrounding a filling, whereby the encasement is made of a yarn, the yarn comprising a core and a sheath surrounding this at least in part, where the core comprises a mineral fibre extending in the longitudinal direction of the yarn. According to the present disclosure, it is provided for the sheath to comprise at least one biodegradable sheath fibre, whereby the mineral fibre is encased, at least in certain regions, by the at least one biodegradable sheath fibre.

Abstract: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

Abstract: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

Abstract: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

Abstract: Controlling an unmanned aerial vehicle to traverse a portion of an operational environment of the unmanned aerial vehicle may include obtaining an object detection type, obtaining object detection input data, obtaining relative object orientation data based on the object detection type and the object detection input data, and performing a collision avoidance operation based on the relative object orientation data. The object detection type may be monocular object detection, which may include obtaining the relative object orientation data by obtaining motion data indicating a change of spatial location for the unmanned aerial vehicle between obtaining the first image and obtaining the second image based on searching along epipolar lines to obtain optical flow data.

Abstract: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

Abstract: An unmanned aerial vehicle (“UAV”) receives location information describing geographic boundaries of a polygonal no-fly zone (“NFZ”), the NFZ having a plurality of virtual walls each associated with a geographic line segment. The UAV identifies a closest and a second closest virtual wall of the plurality of virtual walls of the NFZ to a geographic location of the UAV. The UAV determines a first distance from the location of the UAV to a portion of the closest virtual wall nearest to the location of the UAV and a second distance from the location of the UAV to a portion of the second closest virtual wall nearest to the location of the UAV. In response to the first and/or second determined distances being less than a threshold distance, the UAV modifies a velocity and/or a trajectory of the UAV such that the UAV does not cross the virtual walls.

Abstract: A vestibular prosthesis system is described which includes an external movement sensor that is attachable a patient's head for generating an external movement signal. A fail-safe sensor is configured to detect movement of the one or more external movement sensors relative to the head and generate a corresponding relative motion signal. And an implant processor also is implantable under the skin and in communication with the fail-safe sensor and the external transmitter for generating an implant stimulation signal based on the external movement signal and/or the relative motion signal to electrically stimulate target neural tissue for vestibular sensation by the patient.

Abstract: An implantable fenestration electrode delivers electrical stimulation signals for treatment of Meniere's disease. An electrode lead contains one or more signal wires for carrying a stimulation signal. An electrode tip at a terminal end of the electrode lead is configured for placement within a fenestration opening in an outer surface of a bony labyrinth of a patient with Meniere's disease without penetrating or impairing intra-labyrinthine membranes or neural tissue, and is adapted to deliver the stimulation signal via intra-labyrinthine fluid to the intra-labyrinthine neural tissue.

Abstract: A vestibular prosthesis system is described which includes an external movement sensor that is attachable a patient's head for generating an external movement signal. A fail-safe sensor is configured to detect movement of the one or more external movement sensors relative to the head and generate a corresponding relative motion signal. And an implant processor also is implantable under the skin and in communication with the fail-safe sensor and the external transmitter for generating an implant stimulation signal based on the external movement signal and/or the relative motion signal to electrically stimulate target neural tissue for vestibular sensation by the patient.