An information processing device in an embodiment includes an acquiring unit configured to acquire identification information for identifying a commodity placing table moved from a setting position, an updating unit configured to update a position-information storing section that stores the identification information and position information indicating the setting position of the commodity placing table in association with each other, and an output unit configured to, if the acquiring unit acquires the identification information, output alert information concerning the update of the position-information storing section.

A positioning method and an on-board device. The method includes: acquiring positioning data of a vehicle from a satellite and positioning correction data from a base station; acquiring target positioning data of the vehicle by correcting the positioning data based on the positioning correction data; and sending the target positioning data to a terminal device to enable the terminal device to position the vehicle according to the target positioning data.

The present invention discloses a high-precision point positioning method and device based on a smartphone. The method of the present invention, which belongs to the technical field of satellite positioning, improves the conventional PPP uncombined positioning model, and only uses original GNSS observation values received by a smartphone to carry out high-precision positioning without GNSS reference stations. The positioning method of the present invention comprises following steps: acquiring original observation values of the smartphone, such as GNSS pseudoranges and carrier phases; after preprocessing the data to decrease part of error influences, generating an uncombined model from the original observation values according to an improved precise point positioning method based on an estimation of double clock biases; determining each satellite observation value weight according to a satellite elevation angle; and carrying out filtering positioning by an improved Kalman filtering method to give a high-precision point positioning result.

A method and associated system are provided for determining a yaw heading (θ.sub.heading) of a wind turbine, the wind turbine having a tower and a nacelle that includes a machine head and rotor at a top thereof. The method includes configuring a single rover receiver of a global navigation satellite system (GNSS) at a fixed position relative to the nacelle. A GNSS geographic location of a tower top pivot point (TPP) of the wind turbine is determined, as well as an angular offset of the rover receiver (β.sub.rover) relative to a centerline axis of the nacelle. Based on the GNSS geo-location of the TPP and a GNSS geo-location of the rover receiver, an angular vector () relative to North of a line between the TPP and the rover receiver is determined. The yaw heading (θ.sub.heading) is computed from a difference between the angle () and the angular offset (β.sub.rover) of the rover receiver.

A method for gauging a track position uses a track gauging trolley (7) moved on the track. A gauging run is carried out with the track gauging trolley (7), a GPS antenna (8) and an RTK GPS receiver (11) that communicates with an RTK correction data service (RTK-KD), wherein at least one wheel (10) of the track gauging trolley (7) is pressed against a rail (4). Using boundary conditions such as constraint positions, constraint points and maximum permissible track position corrections, to avoid the disadvantages of the drifts of an inertial gauging system during long gauging runs and the only relative information on the track position, the position of the GPS antenna (8) with respect to a reference axis of the track (4, 10) is determined with the aid of a compensation scanner (6) and a computing unit (13), and the measured GPS coordinates are converted into Cartesian coordinates (Pi(xi, yi, zi)) recorded with the computing unit (13) as a spatial curve (3), from which the location image (1), from which a desired curvature image (ksoll) is calculated, and the longitudinal image (2), from which a desired longitudinal inclination image (Nsoll) is calculated, are formed. An inertial system (INS) is set up on the gauging trolley (7), with which inertial system a correction spatial curve of the same section is created, and recorded using the computing unit (13) and is used as a correction value for the GPS coordinates converted into Cartesian coordinates (Pi(xi, yi, zi)).

A method for gauging a track position uses a track gauging trolley (7) moved on the track. A gauging run is carried out with the track gauging trolley (7), a GPS antenna (8) and an RTK GPS receiver (11) that communicates with an RTK correction data service (RTK-KD), wherein at least one wheel (10) of the track gauging trolley (7) is pressed against a rail (4). Using boundary conditions such as constraint positions, constraint points and maximum permissible track position corrections, to avoid the disadvantages of the drifts of an inertial gauging system during long gauging runs and the only relative information on the track position, the position of the GPS antenna (8) with respect to a reference axis of the track (4, 10) is determined with the aid of a compensation scanner (6) and a computing unit (13), and the measured GPS coordinates are converted into Cartesian coordinates (Pi(xi, yi, zi)) recorded with the computing unit (13) as a spatial curve (3), from which the location image (1), from which a desired curvature image (ksoll) is calculated, and the longitudinal image (2), from which a desired longitudinal inclination image (Nsoll) is calculated, are formed. An inertial system (INS) is set up on the gauging trolley (7), with which inertial system a correction spatial curve of the same section is created, and recorded using the computing unit (13) and is used as a correction value for the GPS coordinates converted into Cartesian coordinates (Pi(xi, yi, zi)).

Embodiments of the present disclosure provide a method for calibrating a lawnmower, including: collecting a preset number of position data of the lawnmower moving relative to a charging station; performing straight line fitting using the preset number of position data; and determining, if the preset number of position data fits a straight line, an orientation of the charging station based on a slope of the fitted straight line. Accordingly, embodiments of the present disclosure may accurately determine the orientation of the charging station and has the advantages of high calibration accuracy and low calibration cost.

A microservice node can include a network real-time kinematics (RTK) device to receive raw satellite data associated with a physical reference station via a first message in a first message queue, to receive static virtual location data associated with a static virtual reference station (VRS) agent, to generate corrections data for the static VRS agent based on the raw satellite data and the static virtual location data, and to transmit the corrections data to the static VRS agent. The microservice node can include the static VRS agent to publish the corrections data in a second message in a second message queue. The microservice node can include an adapter device to determine that the client device is located within a geographic area associated with the static VRS agent and to transmit the corrections data from the second message queue to the client device.

A microservice node can include a network real-time kinematics (RTK) device to receive raw satellite data associated with a physical reference station via a first message in a first message queue, to receive static virtual location data associated with a static virtual reference station (VRS) agent, to generate corrections data for the static VRS agent based on the raw satellite data and the static virtual location data, and to transmit the corrections data to the static VRS agent. The microservice node can include the static VRS agent to publish the corrections data in a second message in a second message queue. The microservice node can include an adapter device to determine that the client device is located within a geographic area associated with the static VRS agent and to transmit the corrections data from the second message queue to the client device.

Described are navigational systems for vehicles including modular, field-swappable and field-configurable components and a plurality of operational modes.