Sony Group Corporation

Sony Corporation

Peter Dürr

Oliver Erdler

Henrik Schäfer

Matthias Frey

Bi Wang

Kirk Scheper

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.

System and a method for generating a weather map

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.

Autofocus imaging circuitry, autofocus imaging apparatus, and autofocus imaging method for an event camera

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.

Method and apparatus for determining a position of an unmanned vehicle, and unmanned aerial vehicle

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.

Remote control and method for modifying an unmanned aerial vehicle's autonomous flight of a predetermined trajectory, and system comprising a remote control and an unmanned aerial vehicle

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.

Concept for designing and using an UAV controller model for controlling an UAV

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.

Method for transporting a rescue device from an aerial vehicle to a person to be rescued, rescue system for rescuing a person to be rescued, and unmanned aerial vehicle for transporting a rescue device from an aerial vehicle to a person to be rescued

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Stuttgart, Germany

Peter Dürr