A method is described of using the mobile device so as to control the drain of power from the power source of the mobile device, the mobile device having at least two location determination techniques having respective power drain characteristics, the method includes selecting the location determination technique having a lower power drain characteristic the greater the determined distance of the mobile device from a predetermined location or area, and selecting the location determination technique having the greater power drain characteristic the smaller the determined distance of the mobile device from a predetermined location or area. The method thus uses the least accurate technique when furthest away and the most accurate technique when closer to a predetermined location or area.

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.

A dump truck includes a plurality of rear wheels (15) rotatably attached to a frame (11) and two GPS receivers (101, 102) arranged to be dislocated from each other in an anteroposterior direction of a vehicle. Any point selected from an area C, in the vehicle coordinates system B set in the dump truck, where the rear wheels contact a ground is defined as a reference point D. The two GPS receivers are arranged so that a vertical line descends from a line segment PQ, connecting two points P, Q of which positions are calculated by the two GPS receivers, to the reference point D. This makes it possible to accurately estimate an attitude of mining machinery by two position estimation means without stopping operation of the machinery.

A method for determining the geographical position of at least one equipment unit using a device constrained to move with the equipment unit, the method including a first step of determination by the device, when the latter is fixed and has not been subjected to any movement for a first particular time, of network data including the identifiers of beacons of communication networks situated in the environment of the device and the Received Signal Strength Indication of the signals sent by each beacon, a second step of said device sending the network data to a data processing unit via a communication network if the communication network is available, the determination step and the sending step being repeated after each movement of the device to a new position.

The present disclosure generally relates to recording movement of a portable electronic device, and more particularly, to a portable electronic device and methods for recording mobility of the portable electronic device. In one embodiment, a method for recording a mobility of a portable electronic device is disclosed, comprising detecting a movement of the portable electronic device using a first sensor; when the movement exceeds a threshold level, determining velocity, a position coordinate, and a time coordinate of the portable electronic device using a second sensor, wherein the threshold level indicates a pre-configured speed and a pre-configured time period associated with the movement; and recording one or more values corresponding to the determined velocity, the position coordinate, and the time coordinate, the one or more values representing mobility of the portable electronic device.

Example Embodiments presented herein are directed towards a radio node (101, 130, 102), and corresponding methods therein, for fingerprinting positioning measurements. The radio node may be configured to provide a fingerprinting measurement result comprising radio channel related information. Non-limiting examples of radio channel information may be Doppler, speed and/or delay spread information. Example embodiments presented herein may also be directed towards a positioning node (140), and corresponding methods therein, for fingerprinting positioning management. The positioning node may be configured to receive radio channel related information from the radio node and generate a radio fingerprint based on the received radio channel related information.

Improved network event tagging for mobile communications is described herein. By way of example, a mobile network can be configured to take periodic geographic positions of a mobile terminal operating within the mobile network. Network events occurring between the periodic geographic positions, otherwise partially unknown in position, can be estimated by referencing topographical information and estimating a route of travel of the mobile device. Estimated speed of the mobile device can be utilized to place the mobile device on a road network, cycling route, pedestrian walkway, or the like, and refine the estimated position of the mobile device at the time of the network event. Such estimates can be refined from traffic information or other real-time travel data. An estimated position of the mobile device can be output as an approximation of the network event to facilitate event modeling for the mobile network.

Methods and arrangements for tracking within a parking facility. A module of a mobile device is used to communicate, to a parking server which stores global data relative to parking places in a parking facility, the presence of a vehicle in the parking facility. There is received, via the module, an indication from the parking server of one or more occupied and/or unoccupied parking places in the parking facility. The module is used to detect a parking event of the vehicle relative to one of the one or more occupied and/or unoccupied parking places, and to report the parking event to the parking server. Other variants and embodiments are broadly contemplated herein.

A method for locating an electronic mobile device capable of wireless communication, the method including obtaining a probability map structure for the area of interest, the probability map structure associating environment data values, preferably including cellular network based data, with location data, obtaining a number of probabilistic temporospatial motion models for different types of motion, the models at least partly defining transition probabilities between location estimates relative to time, obtaining at least environment data captured or determined by the mobile device at a plurality of sequential time instances, and determining the most probable location estimate of the mobile device based on combining probability data from both the probability map structure and the motion models, wherein the at least environment data is best fitted in the motion models and probability map structure according to predefined criteria. Related two arrangements and a computer program are presented.

In one embodiment, an asynchronous wireless system for localization of nodes comprises a first wireless node being configured to receive a first communication from a third wireless node having an unknown location, to determine time difference of arrival (TDoA) information of the reception of the first communication between each of the first and a second wireless node, to determine TDoA ranging including a relative or absolute position of the third wireless node using the time difference of arrival information, and to synchronize the first and second wireless nodes based on a second communication with the synchronization being decoupled in time from the first communication. In another embodiment, a computer implemented method comprises receiving, with first and second wireless anchor nodes, packets from a wireless arbitrary device and performing time difference of arrival ranging upon reception of the packets between each of the first and the second wireless anchor nodes.