A medical device capable of determining its location is provided. The medical device comprises a memory, one or more antennas, one or more processors coupled with the memory and the one or more antennas, a location manager component executable by the one or more processors. The location manager component is configured to receive first location information from a first location information source and second location information from a second location information source, to rank the first location information source and the second location information source according to a hierarchy of location information sources, the hierarchy of location information sources specifying that the first location information source is of higher rank than the second location information source, determine an approximate location of the medical device based on the first location information, and improve the accuracy of the approximate location based on the second location information.

A localization and mapping system and method for a motor vehicle is disclosed and includes at least one camera configured to obtain images of an environment surrounding the motor vehicle, at least one sensor configured to obtain location information for objects surrounding the motor vehicle and a controller configured to receive the images captured by the at least one camera and the location information obtained by the at least one sensor. The controller enhances the captured images utilizing a neural network and combines the enhanced images with the location information to localize the vehicle within the mapped environment.

Provided is a position estimation device capable of highly accurate position estimation. A position estimation device 1 of the present invention is the position estimation device 1 which estimates a current position of a moving object 100 equipped with an imaging device 12, estimates the current position of the moving object 100, create a plurality of virtual positions based on the current position, creates virtual images at the plurality of virtual positions, respectively, compares the plurality of virtual images with an actual image to calculate a comparison error, calculates a weight based on at least one of information acquired by the imaging device 12 and information of a current position error of the moving object, performs weighting on the comparison error using the weight, and corrects the current position based on the comparison error to be weighted.

A method of controlling movement of a machine may include receiving, from a plurality of IMU modules mounted on a corresponding plurality of components of the machine, a plurality of signals indicative of orientation measurements and motion measurements for the components of the machine on which the plurality of IMU modules are mounted. The IMU modules include a corresponding number of state estimators, and form a mesh network communicatively coupled to a communication bus. The method may also include fusing the signals, determining estimates of output orientation data and output motion data for the components of the machine based on the fused signals, determining a real time value for at least one of position, velocity, or acceleration of the components of the machine based on a kinematic evaluation, and applying the determined real time value in an implementation of a controlled operational movement of the components of the machine.

A method of controlling movement of a machine may include receiving, from a plurality of IMU modules mounted on a corresponding plurality of components of the machine, a plurality of signals indicative of orientation measurements and motion measurements for the components of the machine on which the plurality of IMU modules are mounted. The IMU modules include a corresponding number of state estimators, and form a mesh network communicatively coupled to a communication bus. The method may also include fusing the signals, determining estimates of output orientation data and output motion data for the components of the machine based on the fused signals, determining a real time value for at least one of position, velocity, or acceleration of the components of the machine based on a kinematic evaluation, and applying the determined real time value in an implementation of a controlled operational movement of the components of the machine.

A system for determining safety of a road segment may include at least one processor programmed to receive, from a first vehicle, first navigation information associated with the road segment. The first navigation information may include information collected by a first sensor of the first vehicle from an environment of the first vehicle. The at least one processor may also be programmed to receive, from a second vehicle, second navigation information associated with the road segment. The second navigation information may include information collected by a second sensor of the second vehicle from an environment of the second vehicle. The at least one processor may further be programmed to determine, based on the first navigation information and the second navigation information, a score representative of the safety of the road segment, and transmit, to a third vehicle, the score representative of the safety of the road segment.

The present invention relates to a road vehicle localisation method based on magnetic landmarks. Said method is comprised by an offline phase and by an online phase. The offline phase is responsible for creating a reference landmark database comprised by a plurality of magnetic landmarks, wherein each magnetic landmark is associated to a path location data. The online phase is projected to match a current anomaly detected with a reference anomaly of the reference landmark database, in order to estimate the location of a vehicle based on the path location data of the correspondent reference landmark.

It is also described a system comprised by a sensor unit, a storage unit and by a processing unit, which is specifically programmed to operate according the road vehicle localisation method developed.

An object positioning method and apparatus is disclosed. The object positioning apparatus may obtain a reference position of an object, obtain a map-based heading angle of the object based on waypoints on a map, and determine a current position of the object based on the reference position and the map-based heading angle.

An object positioning method and apparatus is disclosed. The object positioning apparatus may obtain a reference position of an object, obtain a map-based heading angle of the object based on waypoints on a map, and determine a current position of the object based on the reference position and the map-based heading angle.

The disclosure relates to a method for determining correction values for a number of sensors of a traveling motor vehicle. The method being based on backward calculation. The disclosure further relates to a method for determining a position of a motor vehicle, using the correction values. The disclosure also relates to an associated electronic control device and to an associated non-volatile computer-readable storage medium.