A method and system of magnetic fingerprint based neural network training for mobile device indoor navigation and positioning. The method, executed in a processor of a server computing device, comprises determining, in the processor, at a plurality of locations, a set of magnetic input parameters in accordance with a magnetic infrastructure profile of at least a portion of an indoor area, the processor implementing an input layer of a neural network, the set of magnetic input parameters providing a magnetic feature input to the input layer of the neural network; receiving, from a mobile device positioned at the first location, a set of measured magnetic parameters at respective ones of the plurality of locations; computing, at an output layer of the neural network implemented by the processor, an error matrix based on comparing an initial matrix of weights associated with the at least a first neural network layer representing the magnetic feature input to a magnetic feature output in accordance with the magnetic measured parameters of the mobile device; and recursively adjusting the initial weights matrix by backpropogation to diminish the error matrix until the generated magnetic feature output matches the magnetic measured parameters.

The present disclosure describes methods, devices, and storage medium for displaying an azimuth in a virtual scene, which belongs to the field of computer technologies. The method includes obtaining, by a device, an orientation azimuth of a virtual object in a virtual scene. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes obtaining, by the device, a plurality of azimuths, angles between the plurality of azimuths and the orientation azimuth being no larger than a preset angle, the plurality of azimuths comprising first azimuths and second azimuths. The method also includes symmetrically distributing, by the device, the first azimuths and the second azimuths centered and on two sides of the orientation azimuth to obtain a target horizontal bar dial; and displaying, by the device, the target horizontal bar dial in a visual field image of the virtual object.

The present disclosure describes methods, devices, and storage medium for displaying an azimuth in a virtual scene, which belongs to the field of computer technologies. The method includes obtaining, by a device, an orientation azimuth of a virtual object in a virtual scene. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes obtaining, by the device, a plurality of azimuths, angles between the plurality of azimuths and the orientation azimuth being no larger than a preset angle, the plurality of azimuths comprising first azimuths and second azimuths. The method also includes symmetrically distributing, by the device, the first azimuths and the second azimuths centered and on two sides of the orientation azimuth to obtain a target horizontal bar dial; and displaying, by the device, the target horizontal bar dial in a visual field image of the virtual object.

A method, computer program, and computer system of a base station is provided for determining a location of a mobile device by receiving data from a mobile device associated with a location of the mobile device and generating a world model database corresponding to a physical location of the base station. The received data is constrained based on the generated world model database, and an updated location of the mobile device is determined based on the constrained data.

A method, computer program, and computer system of a base station is provided for determining a location of a mobile device by receiving data from a mobile device associated with a location of the mobile device and generating a world model database corresponding to a physical location of the base station. The received data is constrained based on the generated world model database, and an updated location of the mobile device is determined based on the constrained data.

Local terrain feature location data is obtained from a local sensor device at a user location without a prior-known global position. The local terrain feature location data characterizes relative distances and directions to a plurality of local terrain features nearest to the user location. Global terrain feature location data stored in at least one hardware memory device is accessed. The global terrain feature location data characterizes relative distances and directions between a plurality of distinctive terrain features located in a defined terrain region in terms of absolute global location coordinates. The local terrain feature location data is compared to the global terrain feature location data to develop multiple pattern matching hypotheses, wherein each pattern matching hypothesis characterizes a likelihood of a subset of the local terrain features matching a subset the global terrain features. Global location coordinates for the user location is then determined from the pattern matching hypotheses.

Local terrain feature location data is obtained from a local sensor device at a user location without a prior-known global position. The local terrain feature location data characterizes relative distances and directions to a plurality of local terrain features nearest to the user location. Global terrain feature location data stored in at least one hardware memory device is accessed. The global terrain feature location data characterizes relative distances and directions between a plurality of distinctive terrain features located in a defined terrain region in terms of absolute global location coordinates. The local terrain feature location data is compared to the global terrain feature location data to develop multiple pattern matching hypotheses, wherein each pattern matching hypothesis characterizes a likelihood of a subset of the local terrain features matching a subset the global terrain features. Global location coordinates for the user location is then determined from the pattern matching hypotheses.

The present disclosure describes methods, devices, and storage medium for displaying an azimuth in a virtual scene, which belongs to the field of computer technologies. The method includes obtaining, by a device, an orientation azimuth of a virtual object in a virtual scene. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes obtaining, by the device, a plurality of azimuths, angles between the plurality of azimuths and the orientation azimuth being no larger than a preset angle, the plurality of azimuths comprising first azimuths and second azimuths. The method also includes symmetrically distributing, by the device, the first azimuths and the second azimuths centered and on two sides of the orientation azimuth to obtain a target horizontal bar dial; and displaying, by the device, the target horizontal bar dial in a visual field image of the virtual object.

The present disclosure describes methods, devices, and storage medium for displaying an azimuth in a virtual scene, which belongs to the field of computer technologies. The method includes obtaining, by a device, an orientation azimuth of a virtual object in a virtual scene. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes obtaining, by the device, a plurality of azimuths, angles between the plurality of azimuths and the orientation azimuth being no larger than a preset angle, the plurality of azimuths comprising first azimuths and second azimuths. The method also includes symmetrically distributing, by the device, the first azimuths and the second azimuths centered and on two sides of the orientation azimuth to obtain a target horizontal bar dial; and displaying, by the device, the target horizontal bar dial in a visual field image of the virtual object.

Methods and systems are provided for indicating the relationship of a displayed area on a map with respect to a route or flight plan. A method comprises displaying a navigational map on a display device and displaying a graphical adjustment element on the display device. The position of the graphical adjustment element on the display device corresponds to the along track distance between the displayed area of the navigational map and a first navigational reference point of a route comprising the first navigational reference point and a second navigational reference point.