Patents by Inventor Manlio Francisco Barajas Hernandez
Manlio Francisco Barajas Hernandez 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).
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Publication number: 20230419533Abstract: Exemplary implementations may: receive a 3d model; identify at least first, second, and third images that observe a first 3d line segment of the 3d model; identify a 2d line segment in each of the first, second, and third images that corresponds to the first 3d line segment; triangulate the 2d line segment of the first and second images to create a second 3d line segment; triangulate the 2d line segment of the first and third images to create a third 3d line segment; triangulate the 2d line segment of the second and third images to create a fourth 3d line segment; group pose pairs, into groups, based on a parameter of the second 3d line segment, the third 3d line segment, and the fourth 3d line segment; select poses of pose pairs in a selected group of the groups comprising a largest number of pose pairs.Type: ApplicationFiled: June 20, 2023Publication date: December 28, 2023Applicant: Hover Inc.Inventors: Manlio Francisco Barajas Hernandez, Weien Ting
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Patent number: 10593108Abstract: Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.Type: GrantFiled: October 31, 2017Date of Patent: March 17, 2020Assignee: Skycatch, Inc.Inventors: Manlio Francisco Barajas Hernandez, David Chen, Pablo Arturo Martinez Gonzalez, Christian Sanz
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Patent number: 10339663Abstract: 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: GrantFiled: October 19, 2017Date of Patent: July 2, 2019Assignee: SKYCATCH, INC.Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
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Publication number: 20190130641Abstract: Systems and methods are disclosed for more efficiently and quickly utilizing digital aerial images to generate models of a site. In particular, in one or more embodiments, the disclosed systems and methods capture a plurality of digital aerial images of a site. Moreover, the disclosed systems and methods can cluster the plurality of digital aerial images based on a variety of factors, such as visual contents, capture position, or capture time of the digital aerial images. Moreover, the disclosed systems and methods can analyze the clusters independently (i.e., in parallel) to generate cluster models. Further, the disclosed systems and methods can merge the cluster models to generate a model of the site.Type: ApplicationFiled: October 31, 2017Publication date: May 2, 2019Inventors: Manlio Francisco Barajas Hernandez, David Chen, Pablo Arturo Martinez Gonzalez, Christian Sanz
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Patent number: 10235566Abstract: 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: GrantFiled: July 21, 2017Date of Patent: March 19, 2019Assignee: SKYCATCH, INC.Inventors: Rodolfo Ruben Alvarez Gonzalez, Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen
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Publication number: 20190026531Abstract: 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: ApplicationFiled: July 21, 2017Publication date: January 24, 2019Inventors: Rodolfo Ruben Alvarez Gonzalez, Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen
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Publication number: 20180040137Abstract: 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: ApplicationFiled: October 19, 2017Publication date: February 8, 2018Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
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Patent number: 9830706Abstract: 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: GrantFiled: September 17, 2015Date of Patent: November 28, 2017Assignee: SKYCATCH, INC.Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li
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Publication number: 20170084037Abstract: 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: ApplicationFiled: September 17, 2015Publication date: March 23, 2017Inventors: Manlio Francisco Barajas Hernandez, Leonardo Felipe Romo Morales, David Chen, Sida Li