A mobile device is configured for determining a position of the mobile device within buildings, the mobile device including: one or more motion sensors; one or more proximity sensors; a relative feature spot map establishing module; wherein the relative feature spot map establishing module is configured for transmitting the one or more relative feature spot maps to an absolute coordinates determining module configured for determining absolute coordinates of the mobile device; wherein the absolute coordinates determining module is configured for determining the absolute coordinates of the position of the mobile device by determining to which absolute feature spot map of the absolute feature spot maps the one or more relative feature spot map correspond.

An information processing apparatus includes: a first receiving unit that receives a radio signal through a first wireless communication channel; a second receiving unit that receives a radio signal through a second wireless communication channel in which position measurement accuracy and radio wave reachable range are higher and shorter respectively than those in the first wireless communication channel; a calculation unit that calculates information on position of the information processing apparatus by using field intensity of the radio signal received by the first or second receiving unit; and a control unit that causes the calculation unit to calculate the information based on the radio signal received by the first receiving unit, and, if a preset condition is satisfied, performs switching control to cause the calculation unit to calculate the information based on the radio signal received by the second receiving unit.

There is described a floor selection system for location tracking within a structure. A communication component receives sensor data, associated with a beacon received from a tag, from sensors. A processor identifies features based on the sensor data, identifies decision tree stumps arranged in a particular order, assigns weights to the decision tree stumps based on the features and the feature thresholds. The processor further determines whether an aggregate of the weights is greater than a resultant threshold and selects a floor location of the tag based on whether the aggregate of weights is greater than the resultant threshold. The floor location is selected from floor locations of the structure proximal to the sensors.

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 system and methods for estimating the location of a mobile device are disclosed. In accordance with one embodiment, a mobile device receives a wireless electromagnetic signal and an ultrasound signal from a first beacon during a first occurrence of a time slot. The mobile device further receives a wireless electromagnetic signal and an ultrasound signal from a second beacon during a second occurrence of the time slot, where the ultrasound signals from the first and second beacons have non-overlapping areas of coverage. The electromagnetic and ultrasound signals from the first beacon are used to estimate a first location of the mobile device, and the electromagnetic and ultrasound signals from the second beacon are used to estimate a second location of the mobile device.

A mobile station improves its position estimate using dead reckoning and wireless signal distance estimates. The mobile station calculates a first round trip time (RTT) based distance at a first mobile station position between the first mobile station position and an access point. The mobile station moves to a second position and calculates a dead reckoning transition distance between the first mobile station position and the second mobile station position. The mobile station calculates a wireless signal transition distance between the first mobile station position and the second mobile station position based on a second RTT-based distance calculated between the access point and the second mobile station position. The mobile station computes an uncertainty associated with the first RTT-based distance and/or the second RTT-based distance using the dead reckoning transition distance and the wireless signal transition distance. The mobile station can correct the first RTT-based distance or the second RTT-based distanced based on comparing the dead reckoning transition distance with the wireless signal transition distance.

A cross reality system enables any of multiple devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. Both stored maps and tracking maps used by portable devices may have wireless fingerprints associated with them. The portable devices may maintain wireless fingerprints based on wireless scans performed repetitively, based on one or more trigger conditions, as the devices move around the physical world. The wireless information obtained from these scans may be used to create or update wireless fingerprints associated with locations in a tracking map on the devices. One or more of these wireless fingerprints may be used when a previously stored map is to be selected based on its coverage of an area in which the portable device is operating. Maintaining wireless fingerprints in this way provides a reliable and low latency mechanism for performing map-related operations.

Methods are provided for locating a mobile radio communication device with a receiver detecting electromagnetic identification signals broadcast by transmitters in a confined environment, or an object with a transmitter periodically broadcasting an electromagnetic identification signal detectable by a plurality of receivers of a localization infrastructure. The receiver of the mobile radiocommunication device, or the plurality of receivers of the localization infrastructure, determine identification data indicative of strength of received identification signals, forming an identification data matrix which is processed to obtain an identification data matrix with reduced noise, from which a characteristic identification vector is extracted including a characteristic identification data element for each transmitter or receiver. Position coordinates of the mobile radio communication device or of the object are determined by minimizing an error in calculating distances between position of the mobile radio communication device, or of the object, and position of at least three transmitters, respectively receivers.

To automatically determine geographic positions of signal sources in areas with limited satellite coverage, a system receives signal data collected by a receiver moving along a path through a geographic area with limited satellite coverage, the signal data being indicative of changes, over a period of time, in strength of respective signals detected by the moving receiver and emitted by multiple signal sources statically disposed along the path. The system determines a time it takes for a length of a vehicle to pass by the signal source at the determined speed. The system then calculates static positions of the signal sources using the signal data and the determined time, including associating the location of each signal source with a time when the signal source was directly over the roof of the vehicle in which the moving receiver is travelling.

A method of enabling a first wireless information device to access absolute location data in which the first wireless information device does not possess its own absolute location finding system but is instead able to receive, over a wireless network, absolute location data from a second wireless information device that does have its own absolute location finding system. The present invention hence enables wireless information devices to share absolute location data: for example, a mobile telephone with GPS capability can be used as a local “beacon” to broadcast its absolute location to any nearby devices over a personal area wireless network (e.g. a Bluetooth network) so that those nearby devices can use that location data. Hence, a camera with no location finding system of its own could obtain location data from a nearby GPS equipped mobile telephone over a Bluetooth PAN and watermark its images with location data.