Verizon Patent and Licensing Inc.

Requisite Software, Inc.

Kevin Brackney

Joshua D Eno

Lindy Williams

Chad Kearney

Andrew Batta

Carolyn Vlach

Nathan Eric Wykes

Bergen Davell

Wesley Boyer

Jeff Wang

James D Brown

James D Harman

Khoa Truong Pham

John E McGinn

Brian P Doyle

John Patrick O'Dwyer

Tristan Storz

Zeehasham Rasheed

A device can receive a search query from another device. The device can determine an information content of the partial query. The device can determine a set of tiles for identifying search results based on the information content of the partial query. The set of tiles can correspond to a geographic area within a proximity of the other device. The set of tiles can be associated with data identifying a set of points of interest associated with the geographic area. The device can obtain the data identifying the set of points of interest associated with the geographic area based on determining the set of tiles. The device can identify a set of search results based on the partial query and the data identifying the set of points of interest associated with the geographic area. The device can provide information identifying the set of search results.

Geographic predictive search

An exemplary geospatial image processing system generates, based on multiple detections of an object of interest detected by a computer vision model in multiple, correlated images of a geospatial location captured from different camera viewpoints, user interface content that includes a visual indication of the detected object of interest superimposed at an object position on a view of the geospatial location. The system provides the user interface content for display in a graphical user interface view of a user interface and provides, by way of the user interface, a user interface tool configured to facilitate user validation of one or more of the multiple detections of the object of interest. The system may receive, a user validation of one or more of the multiple detections of the object of interest and may train the computer vision model based on the user validation. Corresponding methods and systems are also disclosed.

Systems and methods for training and validating a computer vision model for geospatial imagery

Exemplary systems and methods perform post-processing operations on computer vision model detections of objects of interest in geospatial imagery to detect and assign attributes to the detected objects of interest. For example, an exemplary post-processing system correlates multiple detections, made by a computer vision model, of an object of interest depicted within a set of images of a geospatial location, determines, based on the correlated detections, an attribute of the object of interest depicted within the set of images of the geospatial location, and selects the attribute for inclusion in a dataset for the object of interest. Corresponding methods and systems are also disclosed.

Methods and systems for detecting and assigning attributes to objects of interest in geospatial imagery

A device can receive a search query from another. The device can determine an information content of the partial query. The device can determine a set of tiles for identifying search results based on the information content of the partial query. The set of tiles can correspond to a geographic area within a proximity of the other device. The set of tiles can be associated with data identifying a set of points of interest associated with the geographic area. The device can obtain the data identifying the set of points of interest associated with the geographic area based on determining the set of tiles. The device can identify a set of search results based on the partial query and the data identifying the set of points of interest associated with the geographic area. The device can provide information identifying the set of search results.

A device can receive a data model that has been trained on base map data and summary statistics data associated with a first geographic region. The device can obtain additional base map data associated with a second geographic region and additional summary statistics data for a set of junctions within the second geographic region. The device can determine traffic control mechanisms associated with the set of junctions by providing the additional base map data and the additional summary statistics data as input for the data model. The device can generate, using output of the data model, a base map that includes information indicating whether the set of junctions include traffic control mechanisms. The device can, after generating the base map, perform one or more actions associated with improving vehicle navigation or traffic management.

Identification of traffic control mechanisms using machine learning

An electronic catalog is provided that stores items and attributes associated with the items. One or more of the attributes may have more than one value. Items are stored in an item table with different attributes for items stored in different rows in an attribute table. Additional items may be added to a catalog by adding additional rows to the item table, with attributes related to the additional items added as rows into the attribute table. Particular attributes may have multiple values, and attributes with multiple values are associated with sub-items that correspond to different attribute trees or attribute sets associated with the item. Searching can be performed for attribute values and search results returned indicating all items and sub-items that satisfy the search criteria.

System and method for storing item attributes in an electronic catalog

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Westminster, CO, United States of America

Kevin Brackney