The present invention relates generally to a real-time location system (RTLS) and more particularly to a Bluetooth Low Energy (BLE) RTLS having tags, bridges, and beacons. To determine which room a tag is in, beacons broadcast BLE advertisements containing motion-status information about recent history of perceived motion in a room as determined from a motion sensor in the beacon. Tags report received signal strength indications (RSSI) from nearby beacons, motion-in-room status sensed and reported by those beacons, plus their own motion status based on a tag-based accelerometer. A series of location-engine steps estimates the room-location of the tags based on a combination of RSSI analysis, and a comparison of tag-motion history to the perceived and recorded motion-status in a room. The analysis of tag-motion history and motion-in-room status produces a better estimate of room-level location of the tag than an RSSI estimate can produce alone.

A method of operating a device includes sending to a server system a request for data relating to a particular number of elements in the vicinity of a location of the device, receiving a response with data relating to a set of elements, the data including data specifying a location associated with each of the elements, causing a user interface to provide an output representing data related to one or more of the elements, wherein the configuration of the output is dependent upon the location of the elements relative to the location of the device, and in response to a change in the location of the device, updating the output using the data in the response. A device is shown carrying out the method as well as a system including the device and a server.

A moving state determining device includes a receiver receiving radiowaves from a positioning satellite and a processor. The processor determines a moving state of a satellite radiowave receiving unit based on a motion state measured by a sensor which measures a motion state, and performs a positioning operation based on information received by the receiver to obtain a current position and an error range thereof. In determining the moving state, a positioning operation result obtained when the error range satisfies a predetermined accuracy standard can be used. The error range is calculated based on a positioning accuracy and a deviation of the obtained current position and a predicted position calculated in accordance with the moving state. The positioning accuracy is obtained by combining each position of positioning satellites from which radiowaves are received and each receiving state of the radiowaves.

A portable computing device can be used to locate a vehicle in a parking structure. In particular, the portable computing device can communicate with a parking system that manages the parking structure and/or with a vehicle in order to locate the vehicle. Communications between the portable computing device, parking system and vehicle can be based on one or more wireless connections, such as Bluetooth and/or Bluetooth LE connections.

Location polygons are defined along traffic lanes and parking spaces to facilitate determination of the location of a vehicle relative to features associated with the location polygons. The location polygons are used, in one application, to identity entrance and exit of a special toll lane along a roadway, and to ensure that the vehicle properly enters and exits the tolling lane.

Techniques are provided for reducing the delay in accumulating positioning measurements and improving positioning latency. An example method for reducing positioning measurement latency in a wireless network includes receiving assistance data including configuration information for a plurality of positioning reference signals, determining measurement gap requirements, requesting measurement gaps based on the measurement gap requirements, receiving measurement gap configuration information, determining a mobility state, and measuring or transmitting one or more positioning reference signals based at least in part on the measurement gap configuration information and the mobility state.

An information processing apparatus according to an embodiment of the present technology includes a first acquisition section, a second acquisition section, and a determination section. The first acquisition section acquires a camera-based position indicating a position of a real object, the camera-based position being determined on the basis of a captured image of a real space in which there exists the real object. The second acquisition section acquires an output-wave-based estimation position indicating the position of the real object, the output-wave-based estimation position being determined on the basis of an output wave that is output to the real space from a position that corresponds to the real object. The determination section determines a reference position used to represent virtual content related to the real object, on the basis of the camera-based position and the output-wave-based estimation position.

Calibrating a pressure sensor of a mobile device includes determining a first plurality of calibration values for a first plurality of visits to a first revisit zone to which a mobile device repeatedly returns; determining a first relative calibration adjustment value based on the first plurality of calibration values; determining an adjusted absolute calibration value based on i) an absolute calibration value used to calibrate pressure measurements made by a pressure sensor of the mobile device, and ii) the first relative calibration adjustment value; and calibrating pressure measurements made by the pressure sensor of the mobile device using the adjusted absolute calibration value.

Described techniques receive location data with associated timestamps from one or more location sensors spatially associated with the vehicle. Each pair of consecutive location data defines a segment of the vehicle's trajectory. The system aggregates potential stay periods of consecutive segments into an aggregated stay interval as long as a predefined segment clustering rule is fulfilled by the consecutive segments. A potential stay of the vehicle with a potential stay period for a respective segment is detected if the time interval associated with the respective segment is longer than an expected driving time needed for driving a distance associated with the respective segment at a predefined expected speed. The potential stay period is computed for the respective segment as the difference between the associated time interval and the expected driving time. The system detects a stay of the vehicle if the aggregated stay interval reaches a predefined minimum stay period.

In embodiments, an object location system is configured to receive a transmitted tag package from a Radio Frequency (RF) tag associated with an object. The transmitted tag package includes a representation of RF signals received by the RF tag from respective RF signal sources. The object location system is configured to access multiple data models associated with a respective subspace and generated by associating a RF signal sample received by a tag in the associated subspace at a prior time. The object location system is configured to compare the representation of RF signals to each of the plurality of data models. The object location system is configured to select a candidate data model having a highest correlation with the representation of the RF signals from the comparison. The object location system is configured to predict that the object is located in a subspace associated with the candidate data model.