A system corrects errors of a measurement system. The system comprises base measurement system BS and a correction system. BS sensor data is acquired and provided to an algorithm. The data is stored associated with a time stamp indicating time of sensing. Output values are calculated and stored with time stamps indicating time of the sensor data upon which the output values are calculated. Data having corresponding time stamps are supplied to a filter where correction values and correction increments are calculated. The correction increments reflect the change of error in a base system output value over time due to integration or summing up BS sensor data errors in the processing algorithm. The correction values are applied to the BS data and corrected base navigation output values are calculated. These output values are corrected by the correction increments. Output values of the processing algorithm are further processed in succeeding applications.

Disclosed are provided a navigation device or a method for overlaying a travel route, in which the position of other vehicles located on the travel route is considered, on an image obtained from a front-view camera, wherein a navigation device includes: a display device configured to display an image acquired from a front-view camera of a vehicle, to overlay a travel route on the displayed image, and to display the overlaid resultant image; and a processor configured to determine a travel route starting from a position of the vehicle acting as an ego vehicle, when a peripheral vehicle is located at the determined travel route, to determine a travel route along which the ego vehicle dodges or follows the peripheral vehicle on the basis of the position of the peripheral vehicle, and to display the determined travel route on the display unit.

A method for integrating a vision-based navigation system into an aircraft navigation algorithm includes the step of obtaining a previous aircraft location as a latitude-longitude grid coordinate; implementing vision odometry based location determination with several steps. The method includes the step of using one or more digital cameras to obtain a set of digital images of the landscape beneath the aircraft, identifying a set of key points in the landscape using a specified feature point detection algorithm. The method includes the step of detecting a movement in the set of key points between two frames in a time interval. The method includes the step of, based on the movement of the set of key points between the two frames to infer the motion attributes of the aircraft. The method includes the step of locating aircraft imagery by matching it against a georeferenced satellite imagery database. The method includes the step of combining visual odometry and satellite imagery matching methods to obtain aircraft location.

The relation between realization effort for a positioning system on the one hand and positioning accuracy on the other hand is improved by using, for determining the position of a mobile portable device, two sensors within the device, namely one sensor for detecting the movement of the mobile portable device as well as one sensor for detecting the approximation of the mobile portable device to one or several reference beacons, wherein, from a knowledge of a position of the one or several reference beacons by means of data provided by the sensor detecting the movement, the position of the mobile portable device relative to the one or several reference beacons is calculated.

The invention regards a navigation system and a method for error correction. The navigation system comprises a base navigation system and a correction system. Measurement uncertainties are assigned to each measurement and an error threshold is computed on the basis of these uncertainties. Redundant measurements are determined and residuals for at least a pair of redundant measurements as a discrepancy measure are calculated. In case that the residual exceeds a respective threshold an error count for each measurement involved in the determination of the residual is increased. All residuals for each measurement are summed up for a particular measurement and for carrying out the correction in a fusion filter measurements are selected on the basis of their respective error count and summed up residuals.

Provided is a device including an acquisition unit that acquires information indicating a position estimation system selected from among a plurality of position estimation systems for estimating a position of a flight vehicle, and a position estimation unit that estimates the position of the flight vehicle from first information generated by using an inertial sensor of the flight vehicle and second information generated through the position estimation system based on a parameter for the position estimation system.

[Object] To make it possible to more favorably estimate the position of a flight vehicle.

[Solution] Provided is a device including: an acquisition unit that acquires information indicating a position estimation system selected from among a plurality of position estimation systems for estimating a position of a flight vehicle; and a position estimation unit that estimates the position of the flight vehicle from first information generated by using an inertial sensor of the flight vehicle and second information generated through the position estimation system based on a parameter for the position estimation system.

A system is provided for maneuvering a payload in an air space constrained by one or more obstacles, and may include first and second aerial vehicles coupled by a tether to a ground station. Sensor systems and processors in the ground station and aerial vehicles may track obstacles and the tether's and the vehicles' positions and attitude to maneuver the payload and the tether to carry out a mission. The sensor system may include airborne cameras providing data for a scene reconstruction process and simultaneous mapping of obstacles and localization of aerial vehicles relative to the obstacles. The aerial vehicles may include a frame formed substantially of a composite material for preventing contact of the rotors with the tether segments.

A work vehicle control system controls a work vehicle having a braking device. The work vehicle control system includes a location information generating unit that obtains and outputs a location of the work vehicle, and a control unit that controls the braking device based on location information of the work vehicle obtained from the location information generating unit. The control unit determines braking force that controls the braking device based on first accuracy that is accuracy of the location information of the work vehicle obtained from the location information generating unit.

An odometry solution for a device within a moving platform is provided using a deep neural network. Radar measurements may be obtained, such that static objects are detected based at least in part on the obtained radar measurements. Odometry information for the platform is estimated based at least in part on the detected static objects and the obtained radar measurements.