Various techniques are described to facilitate controlling an unmanned aerial vehicle (UAV) and viewing feedback received from a UAV. A graphical user interface (GUI) is provided that allows a user to view a display window. The display window may indicate structures or portions of structures in which additional image data is desired by highlighting these portions within the display window. Static imagery may be leveraged to provide smooth and consistent feedback transitions. When a delay exists between the time the UAV sends live video data and the time it may be displayed in the GUI, the static images may be shown in the display window initially until the live video data may be displayed. The opacity of structures included in an initial display window may also transition to a greater opacity over time, with the live video eventually being displayed.

A system includes a first computing device having a first non-transitory machine-readable storage medium, first communication circuitry, and at least one first processor in communication with the first non-transitory machine-readable storage medium and the first communication circuitry. The at least one first processor is configured to execute instructions stored in the first non-transitory machine-readable storage medium to cause the first communication circuitry to receive a first signal from a first transmission medium, calculate a first authentication value for an object based on data included in the first signal, and cause the first communication circuitry to transmit a second signal to the first transmission medium. The second signal identifies whether the object is authentic based, at least in part, on the first authentication value.

A system includes a first computing device having a first non-transitory machine-readable storage medium, first communication circuitry, and at least one first processor in communication with the first non-transitory machine-readable storage medium and the first communication circuitry. The at least one first processor is configured to execute instructions stored in the first non-transitory machine-readable storage medium to cause the first communication circuitry to receive a first signal from a first transmission medium, calculate a first authentication value for an object based on data included in the first signal, and cause the first communication circuitry to transmit a second signal to the first transmission medium. The second signal identifies whether the object is authentic based, at least in part, on the first authentication value.

This disclosure describes novel schemes and utilities that promote sustainable usage of smartphones. It describes apparatus and methods to prevent phone loss, prevent overheating problems, decrease energy waste of the battery, prevent overcharging, decrease packaging waste, and encourage sustainable behavior among users to increase the life of the electronic product. In addition, this application characterize mechanism for localization of people and objects. The apparatus and methods may be applied to promote sustainable usage of other electronic devices such as tablets, laptops, pocket PCs, personal digital assistants (PDAs), e-readers, wearable devices, and etc. In addition, a framework has been presented which can be applied to promote sustainable behavior for any consumer electronics products including smartphones. In addition, novel localization apparatus and methods is presented in this application that can be applied for general localization/tracking purposes.

This disclosure describes novel schemes and utilities that promote sustainable usage of smartphones. It describes apparatus and methods to prevent phone loss, prevent overheating problems, decrease energy waste of the battery, prevent overcharging, decrease packaging waste, and encourage sustainable behavior among users to increase the life of the electronic product. In addition, this application characterize mechanism for localization of people and objects. The apparatus and methods may be applied to promote sustainable usage of other electronic devices such as tablets, laptops, pocket PCs, personal digital assistants (PDAs), e-readers, wearable devices, and etc. In addition, a framework has been presented which can be applied to promote sustainable behavior for any consumer electronics products including smartphones. In addition, novel localization apparatus and methods is presented in this application that can be applied for general localization/tracking purposes.

A user terminal, vehicle, and controlling method of vehicle is provided. The vehicle includes a communication module configured to communicate with a user terminal and a controller configured to acquire a location of the user terminal, which corresponds to a search signal, when the search signal is received from the user terminal and to determine, based on sensor information of the user terminal, whether the acquired location of the user terminal is valid when the sensor information of the user terminal is received from the user terminal.

The present invention is a system and method for detecting and locating the transmission of radio frequency signals from within a defined geographical area. The system uses statistical confidence limits to detect outliers caused by transmissions in the defined geographical area. The source of the transmission can then be located with triangulation.

The present invention is a system and method for detecting and locating the transmission of radio frequency signals from within a defined geographical area. The system uses statistical confidence limits to detect outliers caused by transmissions in the defined geographical area. The source of the transmission can then be located with triangulation.

A computer-implemented method of geolocating a target includes: receiving, from a plurality of sources, a corresponding plurality of angle estimates of the target relative to the respective sources; generating a corresponding plurality of planar renditions of the received angle estimates; selecting a combination of two or more planar renditions whose intersection defines a polygon; in response to multiple such combinations, selecting one having a largest number of planar renditions; and determining a center of the polygon of the selected combination. A computer-implemented method of evaluating geolocation geometry with respect to a target includes: geolocating the target from received sensor data of the target from multiple sources and location data of the sources; generating entries of a covariance matrix from the location data and the geolocation; deriving eigenvalues of the covariance matrix from the generated entries; and comparing the derived eigenvalues to evaluate the geolocation geometry with respect to the target.

A computer-implemented method of geolocating a target includes: receiving, from a plurality of sources, a corresponding plurality of angle estimates of the target relative to the respective sources; generating a corresponding plurality of planar renditions of the received angle estimates; selecting a combination of two or more planar renditions whose intersection defines a polygon; in response to multiple such combinations, selecting one having a largest number of planar renditions; and determining a center of the polygon of the selected combination. A computer-implemented method of evaluating geolocation geometry with respect to a target includes: geolocating the target from received sensor data of the target from multiple sources and location data of the sources; generating entries of a covariance matrix from the location data and the geolocation; deriving eigenvalues of the covariance matrix from the generated entries; and comparing the derived eigenvalues to evaluate the geolocation geometry with respect to the target.