Abstract:
Method and apparatus for performing crowdsourcing are disclosed. The method may include monitoring environment of a mobile device, determining a level of crowdsourcing in accordance with one or more mobile device generated parameters corresponding to the environment, and performing crowdsourcing in accordance with the level of crowdsourcing determined. The level of crowdsourcing comprises one or more of quantity of crowdsourcing data to be collected by the mobile device, frequency of crowdsourcing operations to be performed by the mobile device, and type of quantization to be applied to the crowdsourcing data collected.
Abstract:
Methods, apparatuses, and devices are disclosed that may be used to estimate a location of a mobile device using, for example, one more receiver gains that may bring about adjustment of received signal strength indications of a radio heatmap. Such adjustment may allow a mobile device to accurately estimate a present location of a mobile device using, for example, a radio heatmap.
Abstract:
Methods and devices are described for merging maps. In one potential embodiment a method may comprise receiving an indication of at least one plurality of geographically proximate points, where each of the at least one plurality of geographically proximate points are determined by at least one access point in communication with one or more mobile devices. A first and second map may then be received, where the first map and the second map each cover a first area such that the first area is in both the first map and the second map. The first map and the second map may then be merged by matching a mapping of a first portion of an indication of the at least one plurality of geographically proximate points on the first map and a second portion of an indication of an at least one plurality of geographically proximate points on the second map.
Abstract:
Particular embodiments disclosed herein are directed to methods, systems and/or devices for mobile assisted positioning. A mobile station may receive positioning assistance data from a server enabling or supporting one or more positioning operations in a venue. In a particular implementation, the mobile device may alter execution of one or more applications based, at least in part, on an indication of particular positioning services or operations enabled or supported by positioning assistance data available at the server.
Abstract:
Methods and apparatuses for performing geotagging referencing in both indoor and outdoor environments are presented. In some embodiments, a mobile device may record a digital media object comprising at least one digitally recorded event of a surrounding environment of the mobile device. The mobile device may obtain at least one geotagging datum, the at least one geotagging datum comprising at least one timing measurement from at least one reference source. The mobile device may determine a location of the digital media object using the at least one geotagging datum. The mobile device may then label the digital media object with the location of the digital media object.
Abstract:
Embodiments include using a wireless access point (AP) as a landmark to aid precise wireless indoor positioning of a mobile device. The AP transmits a wireless indoor positioning signal with a predetermined or known frequency and power that is typically only able to be detected and decoded by any of various types of mobile devices that are within a predetermined “close” range of the AP. Based on positioning the mobile device within the predetermined range, the device may calibrate one or more physical sensors of the mobile device for indoor positioning. Such wireless landmarks provide more accurate, efficient, automated and reliable wireless indoor positioning and sensor calibration.
Abstract:
Various methods, apparatuses and/or articles of manufacture are provided which may be implemented for use by a mobile device to alter a scan operation. Various methods, apparatuses and/or articles of manufacture are provided which may be implemented for use by one or more electronic devices to determine one or more scan factors for use by a mobile device in altering a scan operation.
Abstract:
Systems, apparatus, and methods according to one or more embodiments are provided for encoding assistance data in locations technologies. In an embodiment, a method includes reading, by a processor, tile data of a database in a specific order, wherein the tile data comprises one or more reference data points and/or one or more empty spaces. The method also includes compressing, by the processor, the tile data based on the specific order using encoding. And the method further includes generating relative positions for each individual reference data point with respect to each other in the compressed tile data without specific location identification information for each reference data point.
Abstract:
Systems, apparatus and methods for determining whether to use an indoor map or an outdoor map based on local area network (LAN) signals from access points (APs) are disclosed. If only weak AP signals belonging to a location content identifier (LCI) are received, prior art systems display an indoor map associated with the LCI. An improvement herein further determines a quality of AP signals and/or wide area network (WAN) signals before determining whether to display the indoor map or an outdoor map.
Abstract:
Methods and apparatus for route selection to a destination may include receiving a starting point and one or more destinations, and transmitting a request to a server for routes associated with the starting point and the one or more destinations. Additionally, the methods and apparatus may include receiving, from the server, a plurality of routes to the one or more destinations. Furthermore, the methods and apparatus may include selecting a route from the plurality of routes based at least on one or more reliability parameters associated with each route of the plurality of routes, the one or more reliability parameters comprising a likelihood of determining a position location along each route, the likelihood being based at least on detectability of features in each route by one or more object detection modalities.