Google Inc.

Niantic, Inc.

Gm Global Technolgoy Operations, Inc.

The Boeing Company

Alejandro Nijamkin

David Kornmann

Mark A Aubin

William Frederick Foote

Yuri Owechko

Tsai-Ching Lu

Kyungnam Kim

Yilu Zhang

Mutasim Abdurrahman Salman

David L Allen

Hankyu Moon

Dmitriy V Korchev

Arturo Flores

Dmitriy Kochev

Kim Kyungnam

Systems and methods for filtering communication within a location-based game are disclosed. In one aspect, a method of filtering communication for a location-based game is disclosed. The method includes receiving, at a computing device, communication data for a plurality of players associated with the location based-game. The method further includes filtering the communication data for each player based on one or more signals associated with the respective player.

Systems and methods for filtering communication within a location-based game

A method and apparatus for processing video data streams for an area. Objects are identified in the area from images in the video data streams. The video data streams are generated by cameras. First locations are identified for the objects using the images. The first locations are defined using a coordinate system for the images. Graphical representations are formed for the objects using the images. The graphical representations are displayed for the objects in second locations in a model of the area on a display system with respect to features in the area that are represented in the model. The second locations are defined using a geographic coordinate system for the model. A first location in the first locations for an object in the objects corresponds to a second location in the second locations for a corresponding graphical representation in the graphical representations.

Multi-sensor surveillance system with a common operating picture

A system and method for identifying a monitoring point in an electrical and electronic system (EES) in a vehicle. The method includes defining a network model of the EES where potential monitoring point locations in the model are identified as targets, such as nodes. The method then computes a betweenness centrality metric for each target in the model as a summation of a ratio of a number of shortest paths between each pair of targets in the model that pass through the target whose betweenness centrality metric is being determined to a total number of shortest paths between each pair of targets. The method identifies which of the betweenness centrality metrics are greater than a threshold that defines a minimum acceptable metric and determines which of those targets meets a predetermined model coverage. The monitoring point is selected as the target that best satisfies the minimum metric and the desired coverage.

System and methods for fault-isolation and fault-mitigation based on network modeling

Disclosed are apparatus and methods for managing image storage. An image source of a computing device can include one or more functions and a reference to image views for an image object, such as a bitmap object. The image object can include a reference to first storage that stores an image. The image source, the reference to the image views, and the image object are stored in a managed portion of memory. The first storage is stored in an unmanaged portion of memory differing from the managed portion. The computing device displays the image. Upon determining to discontinue displaying the image, an unbind function of the image source is called. The image source responsively discontinues display of the image. The image source receives an indication that the image views are solely weakly referenced. In response to the indication, the image source deallocates the first storage.

Budgeting native resources in resource-constrained devices that employ a dynamic, garbage-collection based view architecture

Disclosed are apparatus and methods for loading images. A request can be received at a computing device to display a plurality of images on the computing device. In response to the request, the computing device can load, in parallel, the plurality of images into storage of the computing device. The computing device can determine whether an image of the plurality of images is to be used. In response to determining that the image is to be used, the computing device can mark the image as loaded. In response to determining that the image is to not be used, the computing device can mark the image as no-image. Only images marked as loaded can be provided for display.

Managed background loading of image resources in resource-constrained devices

Growing community of inventors

Simi Valley, CA, United States of America

Alejandro Nijamkin