Patents by Inventor Leonardo Felipe Romo Morales

Leonardo Felipe Romo Morales has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10339663
    Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.
    Type: Grant
    Filed: October 19, 2017
    Date of Patent: July 2, 2019
    Assignee: SKYCATCH, INC.
    Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
  • Patent number: 10235566
    Abstract: Systems and methods are disclosed for utilizing digital aerial images to determine stockpile volumes. In particular, in one or more embodiments, the disclosed systems and methods utilize a UAV to capture a plurality of digital aerial images portraying stockpiles on a site. The disclosed systems and methods can generate a two-dimensional representation of the site and a three-dimensional representation of the site based on the plurality of digital aerial images. Moreover, the disclosed systems and methods can apply an elevation filter to the three-dimensional representation of the site to identify potential stockpiles. Further, the disclosed systems and methods can utilize a neural network to analyze two-dimensional features and three-dimensional features of the potential stockpiles to identify final stockpiles. The disclosed systems and methods can then utilize three-dimensional stockpile representations to determine stockpile volumes.
    Type: Grant
    Filed: July 21, 2017
    Date of Patent: March 19, 2019
    Assignee: SKYCATCH, INC.
    Inventors: Rodolfo Ruben Alvarez Gonzalez, Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen
  • Publication number: 20190026531
    Abstract: Systems and methods are disclosed for utilizing digital aerial images to determine stockpile volumes. In particular, in one or more embodiments, the disclosed systems and methods utilize a UAV to capture a plurality of digital aerial images portraying stockpiles on a site. The disclosed systems and methods can generate a two-dimensional representation of the site and a three-dimensional representation of the site based on the plurality of digital aerial images. Moreover, the disclosed systems and methods can apply an elevation filter to the three-dimensional representation of the site to identify potential stockpiles. Further, the disclosed systems and methods can utilize a neural network to analyze two-dimensional features and three-dimensional features of the potential stockpiles to identify final stockpiles. The disclosed systems and methods can then utilize three-dimensional stockpile representations to determine stockpile volumes.
    Type: Application
    Filed: July 21, 2017
    Publication date: January 24, 2019
    Inventors: Rodolfo Ruben Alvarez Gonzalez, Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen
  • Publication number: 20180040137
    Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.
    Type: Application
    Filed: October 19, 2017
    Publication date: February 8, 2018
    Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
  • Patent number: 9846975
    Abstract: Disclosed systems and methods generate filtered, three-dimensional models with regard to a site. In particular, one or more embodiments include systems and methods that generate a filtered, three-dimensional model by removing one or more non-ground objects from a three-dimensional model of the site. Specifically, one or more embodiments of the disclosed systems and methods remove objects from a three-dimensional representation of a site by applying an initial filter to the three-dimensional representation, identifying regions corresponding to types of terrain within the three-dimensional representation, and applying another filter with parameters particular to the identified regions.
    Type: Grant
    Filed: February 18, 2016
    Date of Patent: December 19, 2017
    Assignee: SKYCATCH, INC.
    Inventors: Leonardo Felipe Romo Morales, David Chen
  • Patent number: 9830706
    Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.
    Type: Grant
    Filed: September 17, 2015
    Date of Patent: November 28, 2017
    Assignee: SKYCATCH, INC.
    Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
  • Publication number: 20170243404
    Abstract: Disclosed systems and methods generate filtered, three-dimensional models with regard to a site. In particular, one or more embodiments include systems and methods that generate a filtered, three-dimensional model by removing one or more non-ground objects from a three-dimensional model of the site. Specifically, one or more embodiments of the disclosed systems and methods remove objects from a three-dimensional representation of a site by applying an initial filter to the three-dimensional representation, identifying regions corresponding to types of terrain within the three-dimensional representation, and applying another filter with parameters particular to the identified regions.
    Type: Application
    Filed: February 18, 2016
    Publication date: August 24, 2017
    Inventors: Leonardo Felipe Romo Morales, David Chen
  • Publication number: 20170084037
    Abstract: Systems and methods are disclosed for generating georeference information with respect to aerial images. In particular, in one or more embodiments, systems and methods generate georeference information relating to aerial images captured without ground control points based on existing aerial images. For example, systems and methods can access a new set of aerial images without ground control points and utilize existing aerial images containing ground control points to generate a georeferenced representation corresponding to the features of the new set of aerial images. Similarly, systems and methods can access a new image without ground control points and utilize an existing georeferenced orthomap to produce a georeferenced orthomap corresponding to the features of the new image. One or more embodiments of the disclosed systems and methods permit users to obtain georeference information related to new images without the need to place ground control points or collect additional georeference information.
    Type: Application
    Filed: September 17, 2015
    Publication date: March 23, 2017
    Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
  • Patent number: 9389084
    Abstract: The present disclosure is directed toward systems and methods for identifying changes to a target site based on aerial images of the target site. For example, systems and methods described herein generate representations of the target site based on aerial photographs provided by an unmanned aerial vehicle. In one or more embodiments, systems and method described herein identify differences between the generated representations in order to detect changes that have occurred at the target site.
    Type: Grant
    Filed: September 17, 2015
    Date of Patent: July 12, 2016
    Assignee: SKYCATCH, INC.
    Inventors: David Chen, Ambar Pansari, Christian Sanz, Leonardo Felipe Romo Morales