The disclosure relates to a method for measuring the variance in a measurement signal, comprising the following steps: filtering the measurement signal by means of a high-pass filter in order to obtain a filtered measurement signal; determining the variance by using the filtered measurement signal.

An apparatus and method for operating a communication system for a vehicle, comprising a directed communication receiver configured to output a signal related to beam tracking strength, an inertial reference module configured to receive the beam tracking strength and provide a heading observation based thereon. At least one indicator communicably coupled with the inertial reference module to provide an indication related to the heading of the vehicle.

The present disclosure provides a method and a system for modelling a poor texture tunnel based on a vision-lidar coupling. The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

Systems and methods for determining accuracy of a smoothed navigation solution using filtered resets are provided. In certain embodiments, a navigation system includes one or more inertial devices configured to detect motion of the system and generate inertial data; and one or more aiding devices configured to generate aiding device measurement data. Further, the navigation system includes one or more processors configured to generate an un-smoothed navigation solution based on the inertial data and the aiding device measurement data, wherein the un-smoothed navigation solution includes an un-smoothed navigation error estimates for a state variable. Further, the one or more processors are configured to calculate a smoothed navigation error estimate for the state variable based on the un-smoothed navigation error estimate. Moreover, the one or more processors are configured to determine whether to provide a smoothed filter reset based on the smoothed navigation error estimate and the un-smoothed navigation solution.

A wearable computing device, including a device body, an inertial measurement unit (IMU), and a processor. The processor may receive, from the IMU, a plurality of kinematic measurements collected within a time window. With one or more machine learning models, based at least in part on the kinematic measurements, the processor may compute a current velocity estimate for the wearable computing device at a current timestep and a prior velocity estimate for the wearable computing device at a prior timestep. The processor may compute a current pose estimate and a prior pose estimate based at least in part on the current velocity estimate and the prior velocity estimate, respectively. The processor may compute a composite pose estimate for the wearable computing device at the current timestep based on the current pose estimate and the prior pose estimate. The processor may output the composite pose estimate to a target program.

A method for processing GPS position signals in a vehicle is proposed, wherein the GPS position signals of the vehicle are received successively at a predefined time interval and are processed in order to control the vehicle, and wherein at least one intermediate position value of the vehicle is determined within the time period formed by the time interval between two successive GPS position signals. Furthermore, a control device is proposed for carrying out the method.

A system that measures the motion of a platform traveling over water by reference to images taken from the platform. In one embodiment, the invention is comprised of a computer connected to a camera and an Inertial Measurement Unit (IMU) which provides estimates of the platform's location, attitude and velocity by integrating the motion of the platform with respect to features on the water's surface, corrected for the motion of those features. The invention measures the motion of the water features according to equations of surface water wave celerity to measure motion of features across the water, and by measuring the feature motion shear across images or the discrepancy between the navigation estimates and the observed water feature motion to detect boundaries of water currents. The invention is also capable of measuring water depth, wave motion, sea state and current present in the water, whether affixed to a navigating platform or to a stationary reference point.

A control system (1) for letting a vehicle travel by automatic steering is a system which includes a vehicle control part (112) which controls the vehicle so that a subject point set for the vehicle passes through a predetermined route, a subject-point selection processing part (113) which selects a subject point, and a subject-point updating processing part (114) which updates the subject point as a control subject as appropriate by setting the subject point newly selected by the subject-point selection processing part (113) as the control subject, and a highly-versatile system capable of automatic steering irrespective of the type of the vehicle or the shape of the route.

A position measurement system including: an absolute positioning measuring unit configured to measure an absolute position of a mobile object, attach a first time stamp to an absolute position measurement result, and output the absolute position measurement result with the first time stamp; a relative positioning measuring unit configured to measure a relative displacement of the mobile object, attach a second time stamp to a relative displacement measurement result, and output the relative displacement measurement result with the second time stamp; and a positioning computation unit configured to execute positioning computation for calculating the absolute position of the mobile object based on the absolute position measurement result with the first time stamp and the relative displacement measurement result with the second time stamp, attach a third time stamp to a positioning computation result, and output the positioning computation result with the third time stamp.

A navigation method is provided. The method relates to the field of computer technologies, and in particular, to the field of augmented reality technologies and visual navigation technologies. An implementation is: in response to resumption of navigation after interruption, calculating an initial angle of an inertial sensor based on an angle of a gyroscope; and continuing the navigation based on the initial angle of the inertial sensor and a position of a visual odometry device before the interruption.