Abstract: A server device is configured to provide a combined environment and includes processor circuitry configured to determine first parameters indicative of a first location, generate first environment data indicative of the first location, determine second parameters indicative of a second location, and associate the second parameters with the first environment data for providing combined environment data, and output the combined environment data.

Abstract: A device is configured to provide assistance during extravehicular activity. The device obtains and operates on first data indicative of one or more objects in a detection space. The device is configured to process the first data for determination of one or more properties for the object(s); evaluate, based on the one or more properties, the object(s) in relation to a set of rules to determine one or more user instructions, and cause an illumination arrangement to provide the one or more user instructions by selective projection of the light in relation to the one or more objects. The device thereby reduces the reliance on cognitive processing by user(s) to take decisions on how to proceed in a situation, and instead the cognitive processing of information about the surroundings in relation to the task at hand is offloaded to the device.

Abstract: A device is configured to provide performance support in a low-gravity environment. The device obtains and operates on first data indicative of a body pose of an individual, and second data indicative of a gaze direction of the individual. The device is configured to determine, based on the first data and the second data, a first time series of body poses and a second time series of gaze directions that represent the individual performing a task, obtain a nominal performance scheme for the task, perform an evaluation of the first and second time series in relation to the nominal performance scheme for detection of a performance deviation, and provide, based on the evaluation, feedback data for presentation by a feedback device.

Abstract: 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.

Abstract: 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.

Abstract: A wireless device includes a memory circuit, processor circuitry, and a wireless interface, and is configured to obtain a cellular parameter indicative of cellular channel quality and determine, based on the cellular parameter, a first energy cost parameter indicative of energy required for performing a communication of data. The wireless device transmits the data. The wireless device obtains a network parameter indicative of a network condition in which the transmission of the data occurred. The wireless device determines, based on the cellular parameter and the network parameter, a second energy cost parameter. The wireless device determines, based on the second energy cost parameter, an update parameter. The wireless device, upon the update parameter meeting a criterion, update the first transmission cost parameter based on the second transmission cost parameter and the cellular parameter.

Abstract: A monitoring system detects and mitigates traffic risks among a group of vehicles. The group of vehicles includes a ground-based vehicle (GBV), e.g. an automotive vehicle, and an air-based vehicle (ABV), e.g. a drone, which is operated to track a ground-based object (GBO), e.g. an unprotected road user or an animal. The monitoring system performs a method comprising: obtaining (301) predicted navigation data for the ground-based vehicle and the air-based vehicle, processing (302) the predicted navigation data to obtain one or more future locations of the ground based-object and to detect an upcoming spatial proximity between the ground-based object and the ground-based vehicle, and causing (305), upon detection of the upcoming spatial proximity, an alert signal to be provided to at least one of the ground-based object and the ground-based vehicle.

Abstract: 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.

Abstract: A portable electronic device is controlled, for example to selectively activate a flight mode, based on first event data and/or second event data. The first event data is generated by operating a first model for detection of airplane flight events, AFEs, on first sensing data representing ambient pressure. The second event data is generated by operating a second model for detection of AFEs on second sensing data representing own motion or ambient sound. A control method in the portable electronic device generates training data comprising groups of time-aligned data samples from the first event data and the second sensing data, generates an updated second model by use of the training data, and replaces the second model by the updated second model. The control method facilitates adaptation of the portable electronic device to detect airplane flight events in new environments and enables improved robustness when detecting AFEs.

Abstract: A first electronic device includes an interface; microphone circuitry; memory circuitry; and processor circuitry. The first electronic device is configured to discover, via the interface, a first wireless network. The first electronic device is configured to receive, via the interface, from a second electronic device discovering the first wireless network, a voice biometric indicative of a second user. The first electronic device is configured to activate the microphone circuitry to detect an input audio signal. The first electronic device is configured to determine whether the detected input audio signal satisfies one or more criteria. The first electronic device is configured to, when the detected input audio signal satisfies the one or more criteria, determine a parameter indicative of a level of risk of exposure; and generate, based on the parameter, contact data.

Abstract: 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.

Abstract: 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.

Abstract: An apparatus for configuring a wearable device for exercise tracking includes a data storage unit for storing sensor data generated by a sensor arrangement in the wearable device based on sensed movement of the wearable device and optical movement data including representations of an individual obtained from an image-based monitoring system; and a processing unit configured to: execute a movement tracker model on the sensor data to determine a first exercise activity and an associated first confidence indicator; execute an optical tracker model on the optical movement data to determine a second exercise activity and an associated second confidence indicator; process the movement tracker model based on the first confidence indicator and the second confidence indicator.

Abstract: A device is configured to provide performance support in a low-gravity environment. The device obtains and operates on first data indicative of a body pose of an individual, and second data indicative of a gaze direction of the individual. The device is configured to determine, based on the first data and the second data, a first time series of body poses and a second time series of gaze directions that represent the individual performing a task, obtain a nominal performance scheme for the task, perform an evaluation of the first and second time series in relation to the nominal performance scheme for detection of a performance deviation, and provide, based on the evaluation, feedback data for presentation by a feedback device.

Abstract: An electronic device is configured to obtain first data. The electronic device is configured to determine a first cluster of one or more electronic devices. The electronic device is configured to determine a first configuration parameter. The electronic device is configured to transmit the first detection model to the one or more electronic devices of the first cluster. The electronic device is configured to determine a second cluster of electronic devices. The electronic device is configured to obtain detection data obtained by one or more electronic devices of the second cluster by applying the first detection model. The electronic device is configured to determine a performance parameter of the first detection model. The electronic device is configured to determine a second configuration parameter for the first detection model. The electronic device is configured to transmit the updated first detection model.

Abstract: A device is configured to assist an individual during extravehicular activity. The device obtains and operates on first data indicative of a detection space around the individual, and second data indicative of a pose of the head of the individual relative to a helmet, which is worn over the head of the individual with spacing to the head. The device is configured to process the first data to detect an object in the detection space and determine a first position of the object with respect to the helmet; determine, based on the first position and the second data, a second position of the object with respect to the head, and cause an array of speakers in the helmet to generate an audible sound inside the helmet with a spatial origin given by the second position.

Abstract: A device is configured to provide assistance during extravehicular activity. The device obtains and operates on first data indicative of one or more objects in a detection space. The device is configured to process the first data for determination of one or more properties for the object(s); evaluate, based on the one or more properties, the object(s) in relation to a set of rules to determine one or more user instructions, and cause an illumination arrangement to provide the one or more user instructions by selective projection of the light in relation to the one or more objects. The device thereby reduces the reliance on cognitive processing by user(s) to take decisions on how to proceed in a situation, and instead the cognitive processing of information about the surroundings in relation to the task at hand is offloaded to the device.

Abstract: An electronic device obtains, from a first optical device, a first performance parameter indicative of a detection performance of a first detection model on the first optical device and a second performance parameter indicative of a detection performance of a second detection model on the first optical device. The electronic device obtains, from a second optical device, a third performance parameter indicative of a detection performance of the first detection model on the second optical device and a fourth performance parameter indicative of a detection performance of the second detection model on the second optical device. The electronic device assigns, based on the first performance parameter, the second performance parameter, the third performance parameter, and the fourth performance parameter, the first detection model to the first optical device or the second optical device and the second detection model to the first optical device or the second optical device.

Abstract: A computer system in included in a system for providing wildfire evacuation support. The computer system operates to obtain sensor data that represents a wildfire in a target region from a UAV which is deployed within the target region, obtain a current location of an individual in a hazardous situation in the target region, and obtain a desired destination for the individual in the target region. Based on the sensor data, the computer device identifies one or more danger zones that pose a fire-related threat to the individual, and determines at least one evacuation path that extends from the current location to the desired destination while avoiding the one or more danger zones. The computer system may be located at the UAV or on a central computer resource in communication with the UAV.

Abstract: An electronic device, having a primary function different from detecting a fire, is configured for detecting a fire. The device includes processor circuitry, and a temperature sensor configured to generate temperature data, wherein the processor circuitry is configured to determine whether a first generated temperature data meets a first temperature criteria at a first time, and determine whether a second generated temperature data meets a second temperature criteria at a second time after the first time.