Abstract: The present disclosure relates to a system for generating a weather map. The system comprises a mobile device configured to move to first locations within an environment and obtain first weather data indicative of a weather condition at the first locations by using a sensor. Further, the system comprises a data processing circuitry configured to generate a weather map including a probability distribution of weather conditions between the first locations by applying a predetermined weather model to the first weather data. The data processing circuitry is further configured to determine second locations through a threshold comparison of the probability distribution. The mobile device is further configured to move to the second locations and obtain second weather data indicative of a weather condition at the second locations, by using the sensor, for increasing a confidence of the weather map using the second weather data.

Abstract: The present disclosure generally pertains to autofocus imaging circuitry, configured to: obtain, for a first adjusted focus, a first plurality of brightness change events from a brightness change event detection element; obtain, for a second adjusted focus, a second plurality of brightness change events from the brightness change event detection element; and determine a focus based on the first and the second plurality of brightness change events for autofocusing a scene.

Abstract: A method for determining a position of an Unmanned Vehicle (UV) is provided. The method includes receiving positioning signals from a plurality of satellites of a global navigation satellite system. Further, the method includes estimating the position of the UV based on (i) a three-dimensional model of the UV's environment and (ii) possible signal paths for each of the positioning signals. At least part of the possible signal paths include reflections of the positioning signals by one or more objects in the UV's environment.

Abstract: The present disclosure relates to a method for characterizing a dynamic vision sensor, DVS, comprising converting frames of a scene generated by an image sensor into events of the scene based on conversion parameters characterizing the DVS. The method further comprises determining a difference between the converted events and events corresponding to the scene detected by the DVS. The method further comprises adjusting the conversion parameters to reduce the difference between the converted and the detected events.

Abstract: A tracking camera is disclosed, including a mirror assembly and sensors communicatively coupled to a controller. The controller receives data from the sensors and adjusts the mirror assembly based on the data. The sensors include a time-of-flight sensor for determining distance.

Abstract: A remote control adapted to modify an Unmanned Aerial Vehicle (UAV)'s autonomous flight of a predetermined trajectory is provided. The remote control includes at least one moveable control member for adjusting a set point of an adjustable control parameter of the UAV. Further, the remote control includes at least one actuator capable of controllably applying a torque to the at least one control member. The remote control additionally includes a processing circuit configured to determine a set point of torque to be applied to the at least one control member based on a reference set point of the control parameter. The reference set point of the control parameter is related to the predetermined trajectory. The processing circuit is further configured to control the at least one actuator to apply the determined set point of torque to the at least one control member.

Abstract: A MEMS (micro-electromechanical system) actuator element includes a substrate, a stationary first electrode structure with an edge structure, a second electrode structure with an edge structure, wherein the second electrode structure is deflectably coupled to the substrate by means of a spring structure and electrostatically deflectable by means of the first electrode structure to move the edge structure of the second electrode structure into an intermediate position between a minimum and maximum vertical deflection position, wherein the minimum and maximum deflection position specify a maximum deflection path, wherein the edge structures of the first and second electrode structures are to each other and are vertically spaced apart in the minimum deflection position and wherein, in the maximum deflection position, the vertical immersion path of the edge structure of the second electrode structure into the edge structure of the first electrode structure is up to 0.5 times the maximum deflection path zS.

Abstract: Examples relate to a method for generating an Unmanned Aerial Vehicle (UAV) controller model for controlling an UAV, a system including an UAV, a wind generator, a motion-tracking system and a control module, and to an UAV. The method for training the UAV controller model includes providing a wind generator control signal to a wind generator, to cause the wind generator to emit a wind current towards the UAV. The method includes operating the UAV using the UAV controller model. A flight of the UAV is influenced by the wind generated by the wind generator. The method includes monitoring the flight of the UAV using a motion-tracking system to determine motion-tracking data. The method includes training the UAV controller model using a machine-learning algorithm based on the motion-tracking data.

Abstract: A tracking camera is disclosed, including a mirror assembly and event camera each communicatively coupled to a control unit. The control unit receives event data from the event camera and adjusts the mirror assembly based on the event data. A lens assembly includes at least one lens between the mirror assembly and the event camera.

Abstract: The present disclosure relates to a method for determining a relative position of a first aerial vehicle and at least one second aerial vehicle to each other. The method comprises receiving first image data of a first camera system attached to the first aerial vehicle and second image data of a second camera system attached to the second aerial vehicle. Further, the method provides for determining the relative position using a geometric relation of the first and the second image data.

Abstract: A method for transporting a rescue device from an aerial vehicle to a person to be rescued includes launching an unmanned aerial vehicle from the aerial vehicle having an end portion releasable attached to the unmanned aerial vehicle via a first connection and a second connection. The method further includes enabling the person to be rescued to reach the end portion of the rescue device. and determining whether the end portion of the rescue device is released from the first connection. If the rescue device is released determining at the unmanned aerial vehicle whether the person to be rescued is safely attached to the rescue device. If so, the method comprises either releasing the rescue device from the second connection, or deactivating the unmanned aerial vehicle such that the unmanned aerial vehicle remains attached to the rescue device via the second connection.

Abstract: The present disclosure generally pertains to autofocus imaging circuitry, configured to: obtain, for a first adjusted focus, a first plurality of brightness change events from a brightness change event detection element; obtain, for a second adjusted focus, a second plurality of brightness change events from the brightness change event detection element; and determine a focus based on the first and the second plurality of brightness change events for autofocusing a scene.

Abstract: The present disclosure relates to a system for generating a digital map of an environment. The system comprises at least one sensor which is configured to record sensor data and a position of an object within the environment together with a time-stamp of recording the sensor data. Further, the system comprises a data processing circuitry configured to determine a time-dependent presence probability distribution of the object based on the sensor data. The presence probability distribution is indicative of a probability of the object being at its position before, after and/or at a time of the time-stamp. The data processing circuitry is further configured to register the presence probability distribution of the object in the digital map of an environment of the object.

Abstract: The present disclosure relates to an aerial vehicle for carrying a load. The aerial vehicle comprises an environmental monitoring system configured to monitor the environment of the aerial vehicle and a data processing circuitry. The data processing circuitry is configured to determine, based on the monitored environment, a risk to the environment posed by at least one of the aerial vehicle and the load of the aerial vehicle in case of a crash of the aerial vehicle. The data processing circuitry is further configured to cause, based on the determined risk, the aerial vehicle to carry out an action in order to reduce a damage to the environment in case of the crash.

Abstract: The present disclosure relates to a system for generating a weather map. The system comprises a mobile device configured to move to first locations within an environment and obtain first weather data indicative of a weather condition at the first locations by using a sensor. Further, the system comprises a data processing circuitry configured to generate a weather map including a probability distribution of weather conditions between the first locations by applying a predetermined weather model to the first weather data. The data processing circuitry is further configured to determine second locations through a threshold comparison of the probability distribution. The mobile device is further configured to move to the second locations and obtain second weather data indicative of a weather condition at the second locations, by using the sensor, for increasing a confidence of the weather map using the second weather data.

Abstract: A remote control adapted to modify an Unmanned Aerial Vehicle (UAV)'s autonomous flight of a predetermined trajectory is provided. The remote control includes at least one moveable control member for adjusting a set point of an adjustable control parameter of the UAV. Further, the remote control includes at least one actuator capable of controllably applying a torque to the at least one control member. The remote control additionally includes a processing circuit configured to determine a set point of torque to be applied to the at least one control member based on a reference set point of the control parameter. The reference set point of the control parameter is related to the predetermined trajectory. The processing circuit is further configured to control the at least one actuator to apply the determined set point of torque to the at least one control member.

Abstract: A method for determining a position of an Unmanned Vehicle (UV) is provided. The method includes receiving positioning signals from a plurality of satellites of a global navigation satellite system. Further, the method includes estimating the position of the UV based on (i) a three-dimensional model of the UV's environment and (ii) possible signal paths for each of the positioning signals. At least part of the possible signal paths include reflections of the positioning signals by one or more objects in the UV's environment.

Abstract: A MEMS (micro-electromechanical system) actuator includes a substrate, a first electrode structure that is stationary with respect to the substrate, wherein the first electrode structure comprises a plurality of partial electrode structures, each of which comprises an edge structure and can be electrically controlled separately and a second electrode structure with an edge structure, wherein the second electrode structure is deflectably coupled to the substrate by means of a spring structure and electronically deflectable by means of the first electrode structure to move the edge structure of the second electrode structure into a discrete deflection position, wherein the edge structures of the first and second electrode structures are configured to be opposite to each other with respect to a top view and the opposite portions are spaced apart by a lateral distance.

Abstract: A MEMS (micro-electromechanical system) actuator element includes a substrate, a stationary first electrode structure with an edge structure, a second electrode structure with an edge structure, wherein the second electrode structure is deflectably coupled to the substrate by means of a spring structure and electrostatically deflectable by means of the first electrode structure to move the edge structure of the second electrode structure into an intermediate position between a minimum and maximum vertical deflection position, wherein the minimum and maximum deflection position specify a maximum deflection path, wherein the edge structures of the first and second electrode structures are to each other and are vertically spaced apart in the minimum deflection position and wherein, in the maximum deflection position, the vertical immersion path of the edge structure of the second electrode structure into the edge structure of the first electrode structure is up to 0.5 times the maximum deflection path zSzS.

Abstract: Apparatus for generating an optical pattern from image points in an image plane, including: a control unit; a micro-mirror array; an illumination unit controllable by the control unit; a focusing unit; the control unit being configured to control one or several micro-mirror groups formed of several micro-mirrors of the multitude of micro-mirrors such that the centroid beams reflected at the micro-mirrors of one of the micro-mirror groups meet in the image plane, and such that optical path lengths of the centroid beams reflected at the micro-mirrors of the respective micro-mirror group are equal from the illumination unit up to the image plane or differ by an integer multiple of a wavelength of the light beams in order to generate an image point of the image points in such a way.