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.

One embodiment of the present invention relates to a method for a reader to transmit and receive a signal to and from a tag, the method comprising: a step in which a first reader transmits a first signal to a tag; and a step in which the first reader receives the first signal reflected on the tag. The timing for the first reader to transmit the first signal is determined by using an offset value based on an ID related to the first reader.

In a multilateration system based on an absolute distance measurement and a multilateration method using the multilateration system, the multilateration system is configured to obtain spatial coordinates of an object moving in a space. The system includes a tracking unit having a plurality of tracking devices, and a control calculation part having a dead path estimation part and a tracking device position calculation part. The tracking devices are positioned differently with each other and each of the tracking devices measures a distance to the object. The dead path estimation part is configured to pre-estimate a dead path which is a distance between a measurement reference surface of each tracking device and a central position of each tracking device. The tracking device position calculation part is configured to calculate the central position of each tracking device via nonlinear optimization.

In a multilateration system based on an absolute distance measurement and a multilateration method using the multilateration system, the multilateration system is configured to obtain spatial coordinates of an object moving in a space. The system includes a tracking unit having a plurality of tracking devices, and a control calculation part having a dead path estimation part and a tracking device position calculation part. The tracking devices are positioned differently with each other and each of the tracking devices measures a distance to the object. The dead path estimation part is configured to pre-estimate a dead path which is a distance between a measurement reference surface of each tracking device and a central position of each tracking device. The tracking device position calculation part is configured to calculate the central position of each tracking device via nonlinear optimization.

A method for processing GPS route data of a vehicle is proposed, in which the GPS route data are used for the route guidance of the vehicle along a route (1), wherein vehicle positions and an offroad position information or an onroad position information are generated as route data, wherein a vehicle position calculation function for route guidance of the vehicle is used, if erroneous vehicle positions are generated from the GPS route data. Furthermore, a control device for carrying out a method is proposed.

A positioning device measures a position of a vehicle by including a controller. The controller provides (i) a first positioning system to obtain a first positioning result having a first accuracy by performing positioning using a signal from a GNSS satellite and (ii) a second positioning system to obtain a second positioning result having a second accuracy higher than the first accuracy, by using acquired vehicle-related information, instead of or in addition to the first positioning result. The controller selects, as a selected positioning system to obtain a selected positioning result, either (i) the first positioning system or (ii) the second positioning system. In response to determining that the second accuracy of the second positioning result is lower than the first accuracy of the first positioning result, the controller is configured to switch the selected positioning system to select the first positioning system.

A train position detection apparatus is configured to detect a position of a train by receiving positioning radio waves from satellites through a reception antenna. The train position detection apparatus includes: a memory that stores therein in advance a railway design standard of a railway track on which the train travels; and one or more hardware processors that detect a position of the train by self-contained navigation based on an input signal from a self-contained navigation sensor. When a result of the train position detection based on the positioning radio waves does not satisfy the railway design standard, the one or more hardware processors correct the result of the train position detection based on the positioning radio waves with a result of the position detection by self-contained navigation.

A train position detection apparatus is configured to detect a position of a train by receiving positioning radio waves from satellites through a reception antenna. The train position detection apparatus includes: a memory that stores therein in advance a railway design standard of a railway track on which the train travels; and one or more hardware processors that detect a position of the train by self-contained navigation based on an input signal from a self-contained navigation sensor. When a result of the train position detection based on the positioning radio waves does not satisfy the railway design standard, the one or more hardware processors correct the result of the train position detection based on the positioning radio waves with a result of the position detection by self-contained navigation.

According to one aspect, a system for robust localization may include a scan accumulator, a scan matcher, a transform maintainer, and a location fuser. The scan accumulator may receive a set of sensor data from a set of sensors mounted on a vehicle. The scan accumulator may generate a sensor scan point cloud output by transforming the set of sensor data from each sensor frame to a corresponding vehicle frame and calculate a fitness score, a transformation probability, and a mean elevation angle used to determine a scan confidence for the sensor data. The transform maintainer may receive GPS data, the scan confidence, and the matched sensor scan point cloud output and map tile point cloud data from the scan matcher, and determine whether the GPS data or the matched sensor scan point cloud output and map tile point cloud data is utilized for a map-to-odometer transformation output.

According to one aspect, a system for robust localization may include a scan accumulator, a scan matcher, a transform maintainer, and a location fuser. The scan accumulator may receive a set of sensor data from a set of sensors mounted on a vehicle. The scan accumulator may generate a sensor scan point cloud output by transforming the set of sensor data from each sensor frame to a corresponding vehicle frame and calculate a fitness score, a transformation probability, and a mean elevation angle used to determine a scan confidence for the sensor data. The transform maintainer may receive GPS data, the scan confidence, and the matched sensor scan point cloud output and map tile point cloud data from the scan matcher, and determine whether the GPS data or the matched sensor scan point cloud output and map tile point cloud data is utilized for a map-to-odometer transformation output.