Sony Corporation

Sony Group Corporation

Sony Mobile Communications Ab

Sony Europe B.v.

Sony Mobile Communications Inc.

Sony Network Communications Europe B.v.

Anders Isberg

Peter Exner

Rickard Ljung

Basuki Endah Priyanto

Lars Nord

Jim Rasmusson

Pär Spjuth

Jonas Gustavsson

Linh Trang

Hannes Bergkvist

Shaun Lee

Svante Alnås

Peter C Karlsson

Sangxia Huang

Andreas Kristensson

Olivier Moliner

Anders Mellqvist

Martin Danielsson

Henrik Sundström

Andrej Petef

Hakan Jonsson

Håkan Jonsson

Magnus Hallqvist

Lotta Willstedt

Henrik Sundstrom

Jan Kasper Martinsen

Johan Fredrik Jonas Gulliksson

Hakan Grahn

A method for integrating a replacement device in a cluster of devices includes, by the replacement device, requesting a contextual data structure from a first device of the cluster of devices and/or at least one outside device; obtaining based on the received contextual data structure, contextual data indicative of an environmental context of the replacement device; and providing the contextual data to at least one device of the cluster and/or the outside device(s). The at least one device and/or outside device(s) determining whether the contextual data meets a context criterion of a stored contextual data indicative of contextual data of a replaced device. If so, the replacement device receives from one or more of the first device, the at least one device, or the outside device(s), state data indicative of a known state of the replaced device, and updating the replacement device with the state data.

Method, system, and device for integrating replacement device

The present disclosure provides a method, performed in a wireless device, for enabling controlled communication of non-real time data while the wireless device is registered with a radio network node for communicating real-time data. The method comprises receiving a network data indicator indicative of one or more suitable data transfer occasions to communicate the non-real time data over the radio network node. The method comprises determining based on the network data indicator whether any non-real time data is to be communicated in the one or more data transfer occasions. The method comprises, upon determining that non-real time data is to be communicated, communicating non-real time data over the radio network node to an external node at the one or more data transfer occasions.

Methods for enabling controlled communication of non-real time data, related wireless devices, and related radio network nodes

A control system in a delivery system performs a method of controlling unmanned aerial vehicles, UAVs, which are organized in a group or swarm to perform one or more missions to deliver and/or pick up goods. The method includes obtaining drag data indicative of air resistance for one or more UAVs in the group, determining, as a function of the drag data, a respective relative position of at least the one or more UAVs within the group, and controlling at least the one or more UAVs to attain the respective relative position. Such adjustment in the relative position of one or more UAVs enables improved energy efficiency and may be made to reduce energy consumption, increase reach or decrease travel time of at least one UAV in the group.

Controlling a group of unmanned aerial vehicles for delivery of goods

A scheduling device performs a method of scheduling transports by a fleet of unmanned aerial vehicles, UAVs, to enable improved utilization of the fleet. The method includes computing, for the fleet, aggregated cost data, ACM, that associates utilization cost with distributed sub-regions within a geographic region, the utilization cost of a respective sub-region representing an estimated cost for directing at least one of the UAVs to the respective sub-region. The method further includes receiving a query indicative of one or more potential locations for pick-up or delivery of a payload, determining, based on the ACM, a transportation price for at least one potential location, and presenting the transportation price for the at least one potential location. The scheduling device thereby provides an interactive ordering system that enables utilization of the fleet to be automatically optimized by swarm intelligence.

Utilization of a fleet of unmanned aerial vehicles for delivery of goods

A control system in a delivery system performs a method to deliver a payload by an unmanned aerial vehicle, UAV, without requiring presence of the recipient even if the payload comprises sensitive or vulnerable goods. The method comprises obtaining a designated location for delivery of the payload, obtaining at least one payload vulnerability index for the payload, and obtaining a pick-up time indicative of a time point when the payload is expected to be retrieved by the recipient. The method further comprises selecting a final delivery area at or near the designated location as a function of the at least one payload vulnerability index and the pick-up time, and operating the UAV to deliver the payload to the final delivery area.

Safeguarded delivery of goods by unmanned aerial vehicles

A coordinator electronic device includes a memory circuitry, a processor circuitry, and an interface circuitry. The processor circuitry is configured to obtain sensor data from a first sensor device. The processor circuitry is configured to provide to the first sensor device, based on the sensor data obtained, a first configuration parameter indicative of scheduling of reporting from the first sensor device.

Coordinator electronic device, a sensor device, and related methods

A system performs a control method to launch an unmanned aerial vehicle, UAV. The control method includes calculating a selected altitude, relative to a reference level, for launching the UAV, operating a lifting arrangement to vertically elevate the UAV to the selected altitude, and causing the UAV to be launched from the selected altitude. Elevating the UAV may improve the performance of the UAV in terms of range, power consumption, ability to carry payload, transit time to destination, etc. The selected altitude may be calculated as a function of parameter data representing any of the UAV, the lifting arrangement, or surrounding conditions. An apparatus is further provided to determine an optimal location of the system in relation to a plurality of destinations of UAVs to be elevated by the system.

Launching unmanned aerial vehicles

A device determines the positioning of objects in a scene by implementing a robust and deterministic method. The device obtains object detection data (ODD) which identifies the objects and locations of reference points of the objects in views of the scene. The obtained ODD is processed to identify a first image object of a first view as a mirror reflection of a real object. A virtual view associated with a virtual camera position is created, including the ODD associated with the first image object of the first view. The ODD associated with the first image object is removed from the first view. Based on the ODD associated with at least said virtual view and a further view of the one or more views, a position of said first image object is computed.

Multi-view positioning using reflections

An electronic device includes a memory circuitry, an interface circuitry, a sensor circuitry, and a processor circuitry having a predictor circuitry configured to operate according to a prediction model. The processor circuitry is configured to obtain sensor data. The processor circuitry is configured to determine, based on the sensor data, using the predictor circuitry, a predicted time parameter indicative of a prediction of a time slot to initiate an establishment of a network with one or more other electronic devices. The processor circuitry is configured to initiate the establishment of the network with the one or more other electronic devices according to the predicted time parameter.

Electronic device and related methods for predicting initiation of establishment of a network with one or more other electronic devices

A method for monitoring a primary variable is carried out in a device having access to a set of sensors. The method includes the steps of receiving, from a network service, a series of forecasted values for the primary variable, each forecasted value being associated with one of a series of future time points; for at least one of the future time points, predicting a value for the primary variable using data of at least one secondary variable captured by a subset of the set of sensors, comparing the predicted value to the forecasted value associated with the future time point, and switching to a different subset of the set of sensors, if the predicted value deviates from the forecasted value with more than a specified threshold value.

Method and device for monitoring

A method, a device, and a non-transitory storage medium having instructions to receive a request to begin an adaptive streaming session; receive, in response to receiving the request, context information, wherein the context information pertains to a link state between the device and another device that provides a streaming media; calculate, based on the context information, values for dynamic parameters pertaining to the adaptive streaming session, wherein the dynamic parameters pertain to buffer management and codec selection; and provide, based on the values for the dynamic parameters, the streaming media to a user.

Context-based adaptive streaming algorithm for a user device

Methods and apparatus are provided for controlling a session of an application executed by a User Equipment (UE), using an Edge Computing (EC) management entity configured to manage EC servers comprising computer resources. The EC management entity obtains server information including mobility information related to a first movable EC server. A connection between the UE and the first movable EC server is managed based on the received mobility information.

Method for management of movable edge computing servers

Based on control data () indicative of a user engagement in a mobile edge application () which is being executed on a source mobile edge server (-) of a mobile edge system () and on a terminal (), relocation of the mobile edge application () from the source mobile edge server (-) to a target mobile edge server (-) is facilitated.

Relocation of mobile edge applications

A service provided by a mobile edge server is relocated. A base station associated with the mobile edge server sends a control message to a mobile edge system, the control message being indicative of a predicted handover of the terminal from the base station to one or more candidate base stations.

Relocation of mobile edge computing services

A method for generating a profile for a user based on the user's behaviour and altering a setup of at least one computer program based on the generated user profile. The generic user profile for a user may be updated to include information from a similar user (e.g., a user having similar preferences). Using information from similar users allows for a generic user profile to be generated using information extracted from applications (e.g., both social media and games) and/or based on the behaviour of connections (e.g., social media contact, etc.). The generated generic user profile may be used to change the set-up for applications (e.g., executed/stored on the user's mobile device).

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Åkarp, Sweden

Anders Isberg