Abstract:
A computing system includes a network interface, a first datastore, a second datastore, and a merge module. The merge module is to receive a set of one or more area description files from a set of one or more first mobile devices. Each area description file represents a point cloud of spatial features detected by a corresponding first mobile device at an area. The computing system further includes a localization module and a query module. The localization generation module is to generate a localization area description file for the area from the set of one or more area description files and to store the localization area description file in the second datastore. The localization area description file represents a point cloud of spatial features for the area. The query module is to provide the localization area description file to a second mobile device via the network interface.
Abstract:
Mechanisms for authenticating a connection between a user device and a streaming media content device comprising: identifying a collection of candidate streaming media content devices based on beacon(s) detected by a user device; receiving an indication that one of the content devices is to be selected for connection to the user device; transmitting instructions to the content devices to broadcast a signal, wherein the signal broadcast by each of the content devices contains a value that indicates an identity of the content device; receiving, from the user device, an audio signal that includes a detected signal; processing the audio signal to extract the value indicating the identity of a particular content device associated with the detected signal contained in the received audio signal; identifying the particular content device based on the determined value; and transmitting an indication that the user device and the particular content device are authenticated to communicate.
Abstract:
Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on signal strength measurements. A computing device can receive a particular signal strength measurement, which can include a wireless-signal-emitter (WSE) identifier and a signal strength value and can be associated with a measurement location. The computing device can determine one or more bins; each bin including statistics for WSEs and associated with a bin location. The statistics can include mean and standard deviation values. The computing device can: determine a particular bin whose bin location is associated with the measurement location for the particular signal strength measurement, determine particular statistics of the particular bin associated with a wireless signal emitter identified by the WSE identifier of the particular signal strength measurement, and update the particular statistics based on the signal strength value. The computing device can provide an estimated location output based on the bins.
Abstract:
The present disclosure describes methods, systems, and apparatuses for determining the likelihood that two wireless scans of a mobile computing device were performed in the same location. The likelihood is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the likelihood is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the likelihood between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.
Abstract:
Facial recognition can be used to determine whether or not a user has access privileges to a device such as a smartphone. It may be possible to spoof an authenticated user's image using a picture of the user. Implementations disclosed herein utilize time of flight and/or reflectivity measurements of an authenticated user to compare to such values obtained for an image of an object. If the time of flight distance and/or reflectivity distance for the object match a measured distance, then the person (i.e., object) may be granted access to the device.
Abstract:
The present disclosure describes methods, systems, and apparatuses for determining the distance between two wireless scans of a mobile computing device. The distance is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the distance is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the distance between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.
Abstract:
Methods and systems for modifying a location history of a computing device are described. An example method may include receiving sensor data collected by one or more sensors of a computing device, and receiving a history of geographic locations of the computing device determined based on the sensor data collected by the computing device and additional data from one or more sources. The method may also include receiving updated additional data from the one or more sources, and reprocessing at least a portion of the sensor data with the updated additional data to determine one or more updates to the history of geographic locations of the computing device. The method may further include modifying the history of geographic locations of the computing device based on the one or more updates to provide an updated history of geographic locations of the computing device.
Abstract:
Methods and systems are disclosed for evaluating the reliability of sensor measurements of environmental properties used for deriving the location of a mobile device. A mobile device can receive measurements of environmental properties made sensors of one or more other mobile devices concurrently with real-time measurements of the environmental properties made by sensors of the mobile device. The mobile device can determine that each of the other mobile devices is within a locality threshold of the mobile device. The mobile device can determine that a difference between at least one of the real-time measurements and a metric of the received measurements corresponds to a statistical likelihood that the at least one of the real-time measurements is unreliable. Any of the real-time measurements that are determined to be unreliable can be excluded from a location determination of the mobile device derived from the real-time measurements of the environmental properties.
Abstract:
Examples include systems and methods for decomposition of error components between angular, forward, and sideways errors in estimated positions of a computing device. One method includes determining an estimation of a current position of the computing device based on a previous position of the computing device, an estimated speed over an elapsed time, and a direction of travel of the computing device, determining a forward, sideways, and orientation change error component of the estimation of the current position of the computing device, determining a weight to apply to the forward, sideways, and orientation change error components based on average observed movement of the computing device, and using the weighted forward, sideways, and orientation change error components as constraints for determination of an updated estimation of the current position of the computing device.
Abstract:
Examples herein include methods and systems for determining signal strength maps for wireless access points robust to measurement counts. An example method comprises receiving data related to RSSI for a wireless AP for a plurality of locations of an area, and determining an intermediary signal strength map for the wireless AP based on the received data related to the RSSI for the wireless AP. The method also includes associating the intermediary signal strength map to a regularized signal strength map for the wireless AP that is based on a diffusion mapping model of signal strength. A given partition of the regularized signal strength map is linked to one partition of the intermediary signal strength map. The method also includes providing an output signal strength map for the wireless AP including values of the regularized signal strength map modified based on values of the intermediary signal strength map.