Intel Corporation

Xiaoyong Pan

Justin Lipman

Robert Colby

Xue Yang

Lei Yang

Ke Ding

YuHuan Huang

Yong Jiang

Sigal Louchheim

Weifeng Yao

Dzinh J Nguyen

Robert A Colby

Embodiments herein relate to determining the location of a device using hybrid localization techniques. For example, a first technique such as trilateration may be used to determine an approximate location of the device. An error associated with the approximate location may also be implemented to increase the likelihood of locating the device upon applying a second localization technique, such as fingerprinting. Fingerprinting, when applied to the approximate location determined from trilateration, may determine the location of the device, or a more precise location than that determined from trilateration, such that reduced power consumption by the device may be achieved without sacrificing location accuracy.

Efficient location determination of wireless communication devices using hybrid localization techniques

Technologies for location privacy management include a mobile computing device to determine whether an application is authorized to obtain the location of the mobile computing device based on a determined location and location access policy of the mobile computing device. The location access policy includes policy rules that identify whether the application is authorized to obtain the location of the mobile computing device. If the mobile computing device determines that the application is not authorized to obtain the location of the mobile computing device, the mobile computing device blocks the application from obtaining the location.

Area-based location privacy management

Technologies for identifying rogue access points having an actual location different from a registered location include a computing device to receive a unique identifier of each access point of a plurality of access points within a communication range of the computing device from the corresponding access point. The computing device determines a registered physical location of each access point based on the unique identifier. Additionally, the computing device determines a reference distance between the computing device and each access point based on a transmitted signal received from each corresponding access point and a spatial distance between each access point and each other access point based on the registered locations of the access points. Based on the spatial distances and reference distances, the computing device identifies which of the access points are rogue access points.

Identification of rogue access points

Embodiments of the invention address how trilateration processes, used to obtain a location of a mobile computing device, are affected by physical placement and sub-optimal selection of peer devices (PDs). Embodiments of the invention describe processes for selecting nearest PDs over further PDs, as received signal strength indicator (RSSI) measurements are more reliable&#x2014;i.e., said 'nearest PDs' provide more accurate distance measurements while improving the probability of finding more intersection points. Embodiments of the invention selectively utilize abnormal location poll data when executing location determination processes. Embodiments of the invention further enhance trilateration processes by utilizing dampening values for calculated location poll data.

Trilateration processing of abnormal location data

A device stores an indication of a current floor of a multiple floor building on which a device is located. The device measures signal strengths of signals received at the device from transmitters having known locations on the floors of the building. The device selects one of the multiple floors as a candidate floor based in part on the measured signal strengths. The device increases a confidence level associated with the indication of the current floor if the candidate floor corresponds to the current floor, and decreases the confidence level if the candidate floor does not correspond to the current floor. The device replaces the indication of the current floor with the candidate floor if the confidence level is below a threshold.

Building floor determination for a location based service

Embodiments of techniques and systems for dead-zone-location detection in wireless systems are described. In embodiments, a wireless device may be configured to receive radio signals and provide indicators that convey signal strength of received radio signals. The received radio signals are considered degraded when signal strength of the received radio signals is below a threshold level. The wireless device may also be configured to determine which dead zone the wireless device is currently located, in response to a determination that receipt of radio signals is degraded. Other embodiments may be described and claimed.

Dead zone location detection apparatus and method

Techniques for predicting a future location of a mobile device are included herein in which a previous location of the mobile device can be detected. Additionally, a current location of the mobile device can be detected. Furthermore, the future location of the mobile device can be predicted based at least in part on the previous location of the mobile device, the current location of the mobile device, and a location history.

Mobile device positioning system

A method of generating wireless signal information includes receiving relative movement data generated by sensors and wireless signal data generated by a wireless signal module at a computing system, the sensors and module for detecting wireless signals located in a portable electronic device (PED). The method further includes generating landmark information at a landmark detection module based on the relative movement data, the sensor data and the wireless signal data. The method further includes generating a plurality of Simultaneous Localization and Mapping (SLAM) estimate locations based on the landmark information and the relative movement data at a SLAM optimization engine. The method further includes assembling a first database of locations and corresponding wireless signal strength and access points. The method further includes generating additional information concerning locations and wireless signal information based on the first database.

Systems and methods for simultaneously and automatically creating databases of wifi signal information

Embodiments of techniques and systems for distance and location estimation in wireless systems are described. In embodiments, a wireless device may receive wireless signals from reference points in a spatial arrangement. The wireless device may identify a closest reference point and generate arrangement-based distance values for each of the reference points based on a propagation model. The wireless device may adjust the propagation model based on the received wireless signals and the arrangement-based distance values, and may generate adjusted distance values using the adjusted propagation model. The wireless device may use the adjusted distance values and the spatial arrangement to estimate the location of the wireless device. Other embodiments may be described and claimed.

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Shanghai, China

Xiaoyong Pan