Abstract:
Maps are created that display representations of GPS data generated from a plurality of GPS devices. The GPS data received from the GPS devices is embodied as a representation having descriptive features that visually indicate the location, direction of travel, and speed of travel of the GPS device, and the representation is associated with a road segment on the map. The display of the GPS data from a plurality of GPS devices can be used for editing information about roads on maps and determining preferred routes.
Abstract:
The population density for a geographic area is predicted using a Markov Random Field (MRF) model. A MRF model is defined for estimating a number of mobile devices being used within a geographic area. The MRF model includes a set of rules describing how to use current data describing mobile devices currently observed in the area, and historical data describing mobile devices historically observed in the area to produce the estimate. Values of weight parameters in the MRF model are learned using the historical data. The current and historical data are applied to the MRF model having the learned weight parameters, and cost minimization is used to estimate of the number of mobile devices currently being used within the area. This estimate is used to predict the population density for the area. The predicted population density can then be used to provide location-based services.
Abstract:
Aspects of the disclosure relate generally to localizing mobile devices. In one example, a first location method associated with a first accuracy value may be used to estimate a location of the mobile device. A confidence circle indicative of a level of confidence in the estimation of the location is calculated. The confidence circle may be displayed on a mobile device. When other location methods become available, the size of the displayed confidence circle may be expanded based on information from an accelerometer of the client device or the accuracy of the other available location methods. This may be especially useful when the mobile device is transitioning between areas which are associated with different location methods that may be more or less accurate.
Abstract:
Aspects of the disclosure relate generally to localizing mobile devices. In one example, a first location method associated with a first accuracy value may be used to estimate a location of the mobile device. A confidence circle indicative of a level of confidence in the estimation of the location is calculated. The confidence circle may be displayed on a mobile device. When other location methods become available, the size of the displayed confidence circle may be expanded based on information from an accelerometer of the client device or the accuracy of the other available location methods. This may be especially useful when the mobile device is transitioning between areas which are associated with different location methods that may be more or less accurate.
Abstract:
Aspects of the disclosure relate generally to localizing mobile devices. In one example, a first location method associated with a first accuracy value may be used to estimate a location of the mobile device. A confidence circle indicative of a level of confidence in the estimation of the location is calculated. The confidence circle may be displayed on a mobile device. When other location methods become available, the size of the displayed confidence circle may be expanded based on information from an accelerometer of the client device or the accuracy of the other available location methods. This may be especially useful when the mobile device is transitioning between areas which are associated with different location methods that may be more or less accurate.
Abstract:
An exemplary method includes prompting a user to capture video data at a location. The location is associated with navigation directions for the user. Information representing visual orientation and positioning information associated with the captured video data is received by one or more computing devices, and a stored data model representing a 3D geometry depicting objects associated with the location is accessed. Between corresponding images from the captured video data and projections of the 3D geometry, one or more candidate change regions are detected. Each candidate change region indicates an area of visual difference between the captured video data and projections. When it is detected that a count of the one or more candidate change regions is below a threshold, the stored model data is updated with at least part of the captured video data based on the visual orientation and positioning information associated with the captured video data.
Abstract:
A system and method are provided that allow for localization of a mobile device using detected magnetic signals and magnetic survey data. The magnetic signals may be produced by one or more magnetic signal sources, which are located at particular positions. The mobile device may be localized without information regarding the positions of the magnetic signal sources.
Abstract:
The disclosed subject matter relates to computer implemented methods for generating an exterior geometry of a building based on a corresponding collection of interior geometry. In one aspect, a method includes receiving a collection of interior geometry data of a building. The interior geometry data of the building corresponds to one or more levels. Each of the level(s) is associated with a corresponding vertical span, and to one or more 2-D section polygons. The method further includes extruding the 2-D section polygons into 2.5-D section polygons, by assigning to each of the 2-D section polygons, the vertical span associated with the level(s) to which the 2-D section polygons correspond. The method further includes constructing a 2.5-D merged polygon set based on the extruded 2.5-D section polygons. The outer shell of the 2.5-D merged polygon set corresponds to an exterior geometry corresponding to the building.
Abstract:
The present technology proposes techniques for managing indoor geolocation conversions based on a user's intent in an indoor location. An advertiser may determine the intent of a user of a mobile device and transmit advertisements to the mobile device related to the determined intent. The intent may be determined based on events that include a location of the mobile device, network browsing history, and a transaction made using the mobile device. The advertisement may provide the user with directions to an item based on location information from the mobile device. The advertisements may also load balance geolocation conversions in order to manage a number of users at a particular location.
Abstract:
A system and method are provided that allow for localization of a mobile device using detected magnetic signals and magnetic survey data. The magnetic signals may be produced by one or more magnetic signal sources, which are located at particular positions. The mobile device may be localized without information regarding the positions of the magnetic signal sources.