Abstract:
An autocheck module of a map system is configured to automatically identify anomalous conditions within map data that may indicate an error within the data. The identification of the anomalous conditions is accomplished by application of different autocheck types to the map data, each autocheck type representing a class of anomalies and being triggered if particular map data exhibits the anomalous condition associated with the autocheck type. In one embodiment, for at least some of the portions of map data that trigger an autocheck type, an issue entry is created in an issue database, the issue entry referencing the autocheck type that was triggered, the map data that triggered it, and any associated data of relevance for the particular autocheck type in question.
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 present disclosure relate generally to indoor localization, for example, where GPS or other localization signals are unavailable. More particularly, the estimated location, and in some examples the estimated heading, of a client device may be displayed on a display of the client device. As the device is moved through the indoor space, its location and/or orientation may be estimated based on measurements from one or more orientation devices. Typically, as the client device moves through an indoor space, the location estimation may become less and less accurate. This may be addressed by allowing the user to correct the current location and/or heading. The correction may be logged by the client device and transmitted to a server for further processing.
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 present disclosure relate generally to generating reliable data for indoor navigation. More specifically, aspects relate to identifying a route for a person to follow in order to record data such wireless network access location or other beacon signal information and signal strengths for an indoor space. In one example, the pre-defined route may be generated based on a map of the indoor space, a set of predefined walking strategies, an average walking speed, a time limit, and an optimization goal. For example, if a person is able walk at some average speed for a set period of time, a route may be identified which provides a given density of data points (the optimization goal) within the indoor space. The collected data may then used to build a wireless network model of the indoor space for navigation.
Abstract:
Aspects of the present disclosure relate generally to indoor localization, for example, where GPS or other localization signals are unavailable. More specifically, aspects relate to using a particle filter in conjunction with one or more orientation devices to identify a location of a client device with respect to a map of an indoor space. This location may then be used to identify the path of the client device through the indoor space. The paths of a plurality of different client devices through the same indoor space may be used to update the map based on common patterns or inconsistencies between the map and the paths of the plurality of client devices.
Abstract:
A mobile computing device may be localized in an indoor area based on the strength of wireless network signals accessible in the indoor area from different access points. For efficiency, the localization may be performed in stages. In a first stage, a general geographic area, such as an “island” as will be described below, in which the mobile device is located is identified. In a second stage, an altitude or building level of the mobile device is identified. In a third stage, a position of the mobile device on the identified building level is determined. At least some of these stages of localization may utilize information received at the mobile device from surrounding access points. For example, the island on which the user is located may be determined by identifying at least one access point on that island. Further, decision trees may be executed using input related to a received signal strength from the surrounding access points, and outputs of the decision trees may indicate the device's location.
Abstract:
Aspects of the present disclosure relate generally to indoor localization, for example, where GPS or other localization signals are unavailable. More specifically, aspects relate to using a particle filter in conjunction with a gyroscope and/or accelerometer to identify a current location of a client device with respect to a map. In one example, the map may be based upon a map including a series of walls representing locations where a user may not walk within a building. In another example, the map may be based upon a series of rails representing locations where a user may walk within a building.
Abstract:
Aspects of the present disclosure relate generally to indoor localization, for example, where GPS or other localization signals are unavailable. More specifically, aspects relate to using a particle filter in conjunction with one or more orientation devices to identify a location of a client device with respect to a map of an indoor space. This location may then be used to identify the path of the client device through the indoor space.
Abstract:
A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.