Patent classifications
G01C21/10
Virtual sensor and compass calibration
An unmanned aerial vehicle includes one or more magnetometers, configured to detect a magnetic field and to output magnetometer data corresponding to a magnitude of the detected magnetic field; a position sensor, configured to detect a position of the unmanned aerial vehicle relative to one or more reference points, and to output position sensor data representing the detected position; one or more processors, configured to control the unmanned aerial vehicle to rotate about its z-axis; receive magnetometer data comprising a plurality of z-axis directional measurements taken during the rotation about the z-axis; receive position sensor data and determine from at least the position sensor data a magnetic field inclination of the detected position; and determine a z-axis magnetometer correction value as a difference between the received magnetometer data for the z-axis and the determined magnetic field inclination.
Methods and systems for auto-alignment of displays
A method, medium and system for auto-aligning displays of a head/helmet mounted display. The method, medium and system may provide for an auto-alignment of components of a headband, headgear, or a helmet. The method, medium and system may provide for a first sensor mounted to the helmet of a user and configured to communicate and transfer align with a vehicle comprising an inertial navigation system (INS). The method, medium and system may provide for display comprising a second sensor configured to communicate with the first sensor and transfer align the second sensor with the first sensor based on the transfer alignment of the first sensor with the vehicle. The method, medium and system may provide for wherein the first sensor and the second sensor comprise an inertial measurement unit (IMU). Further, the method, medium and system may also provide for the aligning of two displays on the head/helmet relative to each other in real time.
Methods and systems for auto-alignment of displays
A method, medium and system for auto-aligning displays of a head/helmet mounted display. The method, medium and system may provide for an auto-alignment of components of a headband, headgear, or a helmet. The method, medium and system may provide for a first sensor mounted to the helmet of a user and configured to communicate and transfer align with a vehicle comprising an inertial navigation system (INS). The method, medium and system may provide for display comprising a second sensor configured to communicate with the first sensor and transfer align the second sensor with the first sensor based on the transfer alignment of the first sensor with the vehicle. The method, medium and system may provide for wherein the first sensor and the second sensor comprise an inertial measurement unit (IMU). Further, the method, medium and system may also provide for the aligning of two displays on the head/helmet relative to each other in real time.
Providing video of space to calibrate user location relative to desired destination
A user can access live or historic video feeds of the location he is in and input a desired destination, and the video feeds show the surroundings and indicate a route to the destination, changing as the user moves toward the destination.
Providing video of space to calibrate user location relative to desired destination
A user can access live or historic video feeds of the location he is in and input a desired destination, and the video feeds show the surroundings and indicate a route to the destination, changing as the user moves toward the destination.
METHOD AND SYSTEM OF GLOBAL POSITION PREDICTION FOR IMU MOTION CAPTURE
A computerized method for global position prediction for inertial measurement unit (IMU) motion capture comprising: implementing a u-net architecture; obtaining and utilizing a source data from an IMU based motion capture system; implement the pre-processing of source data by: windowing the source data into a set of short sequences of time-windows, and performing a generic rotation of the windowed source data, wherein a motion captured by the IMU based motion capture system is invariant to a facing direction in a horizontal plane; pre-processing of a set of training targets using a set of transformations and adjusting for a center of mass and zeroing a root displacement at a start of each time window; implementing a post-processing by performing an inverse of the set of training targets to generate a plurality of positions estimations; and using a mean value of the plurality of positions estimations for a set of position predictions to generate the global position prediction.
ANGLE OF ATTACK SENSOR WITH SLOPED FACEPLATE
An angle of attack sensor includes a housing having an open end and a closed end, a faceplate positioned on the open end of the housing, the faceplate comprising a periphery at an outer edge of the faceplate, a central opening, and an exterior surface extending from the periphery to the central opening, and a vane assembly extending through the central opening of the faceplate. The exterior surface of the faceplate has a sloped profile from the periphery to the central opening.
ANGLE OF ATTACK SENSOR WITH SLOPED FACEPLATE
An angle of attack sensor includes a housing having an open end and a closed end, a faceplate positioned on the open end of the housing, the faceplate comprising a periphery at an outer edge of the faceplate, a central opening, and an exterior surface extending from the periphery to the central opening, and a vane assembly extending through the central opening of the faceplate. The exterior surface of the faceplate has a sloped profile from the periphery to the central opening.
Detection and estimation of variable speed signs
Systems, methods, and apparatuses are disclosed for predicting or estimating the value of a variable speed sign (VSS). Probe data is received from multiple vehicles associated with a road segment. Location values are derived from the probe data. Center distance values are calculated based on the location values and the road segment. Clusters are derived from the probe data. Center distance values are grouped according to the respective clusters and a lane is assigned to at least one cluster based on the center distance values. The speed of the cluster predicts or estimates the corresponding lane of the VSS.
COMMUNICATION DEVICE, COMMUNICATION SYSTEM, AND METHOD FOR COMMUNICATION
An airborne communication device installed in a vehicle, wherein the airborne communication device is configured to receive navigation information from a ground-based communication device installed outside the vehicle via a datalink protocol. A ground-based communication device, a communication system, and a method for communication are described.