A method for creating a correction function for improving the accuracy of a GPS device collects multiple time samples at multiple known locations wherein each time sample consists of GPS coordinates and associated satellite data from multiple satellites. The satellite data includes or permits determination of (i) satellite azimuth and elevation of an associated satellite, (ii) Signal-to-Noise Ratio of a received signal from the associated satellite, and optionally (iii) pseudo-range. For each time sample a respective error between the known location and the corresponding GPS coordinates is computed and an error correction function is created as a function of the respective GPS coordinates and the satellite data by applying deep learning/machine learning techniques to the multiple time samples.

A method of determining a vehicle position and a vehicle velocity, including receiving a camera image sequence based on a camera borne by a vehicle and determining a camera pose based on the camera image sequence. The method includes determining a global position system location based on a global position system receiver borne by the vehicle, determining an inertial movement signal based on an inertial movement unit borne by the vehicle and receiving a wheel encoder signal from a wheel of the vehicle. The method additionally includes determining at least one of the vehicle positions and the vehicle velocity based on at least two of the camera pose, the global position system location, the inertial movement signal and the wheel encoder signal in temporal synchronization.

A master control system for a remote-sensing satellite image processing device, the system including: a master control management module, a first FPGA module, and a second FPGA module. The master control management module is in connection and communication with the first FPGA module, the second FPGA module, and a housekeeping computer. The first FPGA module is in connection and communication with the second FPGA module and a remote-sensing satellite image processing device. The master control management module is adapted to perform assignment of tasks. The first FPGA module is adapted to communicate with a processor in the satellite image processing device, monitor an operation state of the satellite image processing device, send the operation state information to the master control management module, receive a task assignment command issued by the master control management module, and transmit the task assignment command to the satellite image processing device.

A weapon safety system with a target and a weapon with an automated lock. Each target is associated with an emitter which transmits a clearance signal that encodes an identifier. The encoded identifier may release the automated lock when received by a receiver attached to the weapon. In order to restrict the positions and orientations from which the weapon can fire to those surrounding the desired targets, shooting is enabled and the automated lock is released, when the following conditions are met: the clearance signal is received by the receiver, so that the receiver is within a first enablement area generated by a first aperture in the emitter; a measured optical power is above a predefined threshold; and the encoded identifier is validated.

In accordance with an aspect of the present disclosure, there is provided a method of calibrating a camera for a vehicle, comprising: obtaining attitude angle information of the vehicle by using a traveling direction of the vehicle obtained based on a satellite signal, and a vertical direction from ground obtained based on a high definition map; obtaining attitude angle information of the camera mounted on the vehicle by matching an image captured by the camera to the high definition map; and obtaining coordinate system transformation information between the vehicle and the camera by using the attitude angle information of the vehicle and the attitude angle information of the camera.

An electronic device is provided. The electronic device includes a plurality of antennas to communicate with an external electronic device and at least one processor operatively connected to the plurality of antennas. The processor is configured to detect a tracking start event using an external magnetic material positioned at a location adjacent to the electronic device, to track a location of the external electronic device using the plurality of antennas and, while the tracking is performed, to obtain a height value of the external electronic device when an angle between the electronic device and the external electronic device is a specified angle. The processor is further configured to change a specified condition based on the obtained height value, to detect a tracking end event based on the specified condition, and to change an operating mode associated with the electronic device in response to detecting the tracking end event.

A device, system and method of use for the relative navigation in a fluid medium, the device having a receiver and a controller, the receiver capable of receiving signals through the fluid medium. The signals, produced by a source, are capable of undergoing Doppler shift, and the controller is capable of determining the Doppler shift of the signals and determining the bearing between the device and the source of the signals. The system further having a first vehicle capable of producing the signals and a second vehicle having the device and wherein the device determines the bearing of the second vehicle in relation to the first vehicle.

Described are targets for use in optical tracking, as well as related methods. A target comprises a plurality of light dispersers, optically coupled to at least one light source. The light dispersers are illuminated for detection and tracking by a tracking system. In some implementations, the at least one light source is optically coupled to the plurality of light dispersers by a plurality of light directors. In other implementations, the at least one light source includes a plurality of light sources positioned within or proximate to the plurality of dispersers. In some implementations, dispersers are lenses; in some implementations, dispersers are light scattering elements. Targets include or are coupled to a power source. In some implementations, targets include additional electrical components which utilize power from the power source.

A method, apparatus and system for determining change in pose of a mobile device include determining from first ranging information received at a first and a second receiver on the mobile device from a stationary node during a first time instance, a distance from the stationary node to the first receiver and the second receiver, determining from second ranging information received at the first receiver and the second receiver from the stationary node during a second time instance, a distance from the stationary node to the first receiver and second receiver, and determining from the determined distances during the first time instance and the second time instance, how far and in which direction the first receiver and the second receiver moved between the first time instance and the second time instance to determine a change in pose of the mobile device, where a position of the stationary node is unknown.

A satellite attitude estimation system 20 includes a determination unit 21 which determines the maximum pixel, which is a pixel with the largest luminance, and the minimum pixel, which is a pixel with the smallest luminance, respectively, in an infrared image, which is an image taken by an infrared sensor of a target satellite that is a satellite whose attitude is to be estimated, an association unit 22 which associates the determined maximum and minimum pixels with coordinates on the 3D structure of the target satellite, respectively, a computation unit 23 which computes normal vectors for a surface including the coordinates associated with the pixel, respectively, over the coordinates associated with each pixel, and a sun direction estimation unit 24 which estimates the direction of the sun relative to the target satellite before the infrared image is taken using the computed normal vectors.