A method for guiding a terrestrial vehicle along a desired path can include receiving a position signal from a global navigation satellite system (GNSS) antenna and a gyro signal from a gyro sensor that is indicative of: (i) at least one of a pitch and a roll of the terrestrial vehicle, and (ii) a gyro-based heading direction. A position of a point of interest of the terrestrial vehicle at a location different than the GNSS antenna can be determined based on the position signal, the gyro signal, and a positional relationship between the first location and the second location. A position-based heading direction of the point of interest of the terrestrial vehicle can be determined based on the determined position of the point of interest and at least one previously determined position of the point of interest.

A verification method comprising a first step of measuring at least one position parameter of an aircraft and a first set of steps implemented after the flight of at least one aircraft, in an automatic and repetitive manner, comprising computing a geographical height of an aircraft with respect to the runway on the basis of the position parameters of an aircraft, computing an evaluated vertical deviation, between the geographical height and a reference height, and computing a vertical error on the basis of a comparison between the evaluated vertical deviation and the reference vertical deviation.

An localization correction method for a robot, comprising acquiring first position information of the robot in a first coordinate system; acquiring second position information of the robot in a second coordinate system after the robot executes a motion command; establishing a transformation model between the first position information and the second position information based on the first coordinate system and the second coordinate system; calculating a compensation value according to the transformation model; and generating a reset command according to the compensation value, and adjusting the localization of the robot according to the reset command.

A method and apparatus for calibrating a set of transducers. In one illustrative embodiment, an apparatus comprises a target device, an imaging device, and a calibrator. The imaging device generates a plurality of images of a target formed by the target device as the target device is rotated relative to the imaging device about a pivot axis formed at an interface between a first structure and a second structure in response to the first structure being rotated about the pivot axis relative to the second structure. The calibrator identifies a plurality of angles of the target about the pivot axis using the plurality of images. The calibrator further identifies calibration information using the plurality of angles.

A method and apparatus for calibrating a set of transducers. In one illustrative embodiment, an apparatus comprises a target device, an imaging device, and a calibrator. The imaging device generates a plurality of images of a target formed by the target device as the target device is rotated relative to the imaging device about a pivot axis formed at an interface between a first structure and a second structure in response to the first structure being rotated about the pivot axis relative to the second structure. The calibrator identifies a plurality of angles of the target about the pivot axis using the plurality of images. The calibrator further identifies calibration information using the plurality of angles.

In an example, an autonomous vehicle comprises first and second sensors, wherein each of the first and second sensors is to acquire first and second position measurements for the autonomous vehicle. The autonomous vehicle may comprise a processor to compare the first and second position measurements and when the first and second position measurements are in agreement, determine a position of the autonomous vehicle by selecting the first position measurement, and when the first and second position measurements are not in agreement, determine the position of the autonomous vehicle by filtering the first and second position measurements with a stochastic filter.

An apparatus obtains data comprising magnetic flux density data and an association of the magnetic flux density data to grid points of at least one grid, each grid point representing at least a geographical location. The apparatus applies at least one frequency transform to a representation of the magnetic flux density data and their association to grid points to obtain frequency components. The apparatus provides compressed magnetic flux density data comprising a subset of the obtained frequency components for at least one of storage and transmission. The same apparatus or another apparatus applies at least one inverse frequency transform to the frequency components in order to recover the magnetic flux density data and their association with different grid points and provides the recovered magnetic flux density data and their association with different grid points for supporting a positioning of a mobile device.

Methods, systems, devices, and tangible non-transitory computer readable media for surface detection and geolocation are provided. The disclosed technology can receive location request data associated with a request for a geographic location of a user device in an environment. Based on the location request data, images of segments of a surface of the environment can be accessed. The geographic location of the user device can be determined based on the segment signatures that match stored segment signatures respectively associated with stored geographic locations. The segment signatures can be based on the images of the segments of the surface of the environment. Map data including information associated with a geographic area can be accessed. Furthermore, indications can be generated and the indications can include information associated with the geographic location of the user device within the geographic area.

An image-based navigation system is arranged to obtain a terrain image of a target terrain from one or more image sensors at a low altitude imaging location. The terrain image includes at least one celestial image feature and at least one terrain feature. Map database information stored in at least one hardware memory device is accessed and compared to the at least one celestial image feature and the at least one terrain feature in the terrain image to determine absolute location coordinates of the imaging location.

An image-based navigation system is arranged to obtain a terrain image of a target terrain from one or more image sensors at a low altitude imaging location. The terrain image includes at least one celestial image feature and at least one terrain feature. Map database information stored in at least one hardware memory device is accessed and compared to the at least one celestial image feature and the at least one terrain feature in the terrain image to determine absolute location coordinates of the imaging location.