Abstract: An augmented reality (AR) platform supports concurrent operation of multiple AR applications developed by third-party software developers. The AR platform may include an application programming interface (API) that third-party software developers can use to integrate features of the AR platform into the overall user experience of their AR applications. The AR platform includes a feature set having a variety of AR-specific features that interact with and are accessible to the AR applications or AR layers that define a collection of AR content.

Abstract: A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.

Abstract: A method and system are provided for enabling a shared augmented reality experience. The system may include one or more onsite devices for generating AR representations of a real-world location, and one or more offsite devices for generating virtual AR representations of the real-world location. The AR representations may include data and/or content incorporated into live views of a real-world location. The virtual AR representations of the AR scene may incorporate images and data from a real-world location and include additional AR content. The onsite devices may synchronize content used to create the AR experience with the offsite devices in real time, such that the onsite AR representations and the offsite virtual AR representations are consistent with each other.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.

Abstract: An augmented reality (AR) platform for the Internet of Things (IoT) is disclosed. The AR platform enables a user to associate AR objects with IoT devices. These associations may further enable a user to direct a control input to a particular IoT device and receive outputs such as sensor measurements or state information from the IoT device via interaction with an associated AR object. These AR objects may be perceived by the user via a client device, such as via an AR viewer or other human interface. The AR platform further enables users to create shareable objects that define an association among or between multiple AR objects and their IoT devices that can be shared with and modified by other users.

Abstract: An augmented reality (AR) platform supports concurrent operation of multiple AR applications developed by third-party software developers. The AR platform may include an application programming interface (API) that third-party software developers can use to integrate features of the AR platform into the overall user experience of their AR applications. The AR platform includes a feature set having a variety of AR-specific features that interact with and are accessible to the AR applications or AR layers that define a collection of AR content.

Abstract: A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.

Abstract: A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.

Abstract: Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: An augmented reality (AR) platform for the Internet of Things (IoT) is disclosed. The AR platform enables a user to associate AR objects with IoT devices. These associations may further enable a user to direct a control input to a particular IoT device and receive outputs such as sensor measurements or state information from the IoT device via interaction with an associated AR object. These AR objects may be perceived by the user via a client device, such as via an AR viewer or other human interface. The AR platform further enables users to create shareable objects that define an association among or between multiple AR objects and their IoT devices that can be shared with and modified by other users.

Abstract: A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.

Abstract: An augmented reality (AR) platform supports concurrent operation of multiple AR applications developed by third-party software developers. The AR platform may include an application programming interface (API) that third-party software developers can use to integrate features of the AR platform into the overall user experience of their AR applications. The AR platform includes a feature set having a variety of AR-specific features that interact with and are accessible to the AR applications or AR layers that define a collection of AR content.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.

Abstract: A supervisory computer vision (CV) system may include a secondary CV system running in parallel with a native CV system on a mobile device. The secondary CV system is configured to run less frequently than the native CV system. CV algorithms are then run on these less-frequent sample images, generating information for localizing the device to a reference point cloud (e.g., provided over a network) and for transforming between a local point cloud of the native CV system and the reference point cloud. AR content may then be consistently positioned relative to the convergent CV system's coordinate space and visualized on a display of the mobile device. Various related algorithms facilitate the efficient operation of this system.