Abstract: A network scan may be performed, and the best network may be selected in real time in the device after evaluating all available carriers whose network information is gathered by network scanning The network scan enables the device to fairly compare the connectivity of the available carrier services and can be used to improve the on-device network selection. The network scan may be further used in order to ensure the existence of a better carrier service before switching. Accordingly, this may reduce unnecessary poor switches to networks having lower quality connections and increase good switches to networks having better quality. The present disclosure provides for determining when to run network scan and how to use the scan results to make the cell network selection decision.

Abstract: A method includes receiving a carrier switching model, determining that user equipment (UE) is transitioning between carrier cells based on at least one connection performance metric of the UE, and obtaining a current UE location and any available carrier networks of carriers relative to the current UE location. The method also includes determining a carrier switch score for each available carrier network using the carrier switching model and determining to switch carrier networks based on the carrier switch score of a currently-connected available carrier network relative to the carrier switch score of another available carrier network. Each carrier switch score is based on at least one of a predicted signal strength or a predicted radio access technology over a threshold period of time for the respective available carrier network. The method also includes causing the UE to switch connection to the other available carrier network.

Abstract: A method includes receiving a carrier switching model, determining that user equipment (UE) is transitioning between carrier cells based on at least one connection performance metric of the UE, and obtaining a current UE location and any available carrier networks of carriers relative to the current UE location. The method also includes determining a carrier switch score for each available carrier network using the carrier switching model and determining to switch carrier networks based on the carrier switch score of a currently-connected available carrier network relative to the carrier switch score of another available carrier network. Each carrier switch score is based on at least one of a predicted signal strength or a predicted radio access technology over a threshold period of time for the respective available carrier network. The method also includes causing the UE to switch connection to the other available carrier network.

Abstract: Architecture that summarizes a large amount (e.g., thousands of miles) of street-level image/video data of different perspectives and types (e.g., continuous scan-type data and panorama-type data) into a single view that resembles aerial imagery. Polygons surfaces are generated from the scan patterns and the image data is projected onto the surfaces, and then rendered into the desired orthographic projection. The street-level data is processed using a distributed computing approach across cluster nodes. The collection is processed into image tiles on the separate cluster nodes representing an orthographic map projection that can be viewed at various levels of detail. Map features such as lower-level roads, that are at lower elevations than higher-level roads, and are hidden by higher-level overpassing roads, can be navigated in the map. With the summarized data, the maps can be navigated and zoomed efficiently.

Abstract: Architecture that summarizes a large amount (e.g., thousands of miles) of street-level image/video data of different perspectives and types (e.g., continuous scan-type data and panorama-type data) into a single view that resembles aerial imagery. Polygons surfaces are generated from the scan patterns and the image data is projected onto the surfaces, and then rendered into the desired orthographic projection. The street-level data is processed using a distributed computing approach across cluster nodes. The collection is processed into image tiles on the separate cluster nodes representing an orthographic map projection that can be viewed at various levels of detail. Map features such as lower-level roads, that are at lower elevations than higher-level roads, and are hidden by higher-level overpassing roads, can be navigated in the map. With the summarized data, the maps can be navigated and zoomed efficiently.

Abstract: Architecture that summarizes a large amount (e.g., thousands of miles) of street-level image/video data of different perspectives and types (e.g., continuous scan-type data and panorama-type data) into a single view that resembles aerial imagery. Polygons surfaces are generated from the scan patterns and the image data is projected onto the surfaces, and then rendered into the desired orthographic projection. The street-level data is processed using a distributed computing approach across cluster nodes. The collection is processed into image tiles on the separate cluster nodes representing an orthographic map projection that can be viewed at various levels of detail. Map features such as lower-level roads, that are at lower elevations than higher-level roads, and are hidden by higher-level overpassing roads, can be navigated in the map. With the summarized data, the maps can be navigated and zoomed efficiently.