Patents by Inventor Henry H. Snow
Henry H. Snow 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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Patent number: 10157334Abstract: Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.Type: GrantFiled: May 23, 2016Date of Patent: December 18, 2018Assignees: MTD PRODUCTS INC, CASE WESTERN RESERVE UNIVERSITYInventors: Alexander Schepelmann, Kathryn A. Daltorio, Amaury D. Rolin, Jonathan Beno, Bradley E. Hughes, James M. Green, Michael S. Branicky, Roger D. Quinn, Henry H. Snow, Francis L. Merat, Richard E. Hudson
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Publication number: 20160342864Abstract: Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.Type: ApplicationFiled: May 23, 2016Publication date: November 24, 2016Inventors: Alexander Schepelmann, Kathryn A. Daltorio, Amaury D. Rolin, Jonathan Beno, Bradley E. Hughes, James M. Green, Michael S. Branicky, Roger D. Quinn, Henry H. Snow, Francis L. Merat, Richard E. Hudson
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Patent number: 9349187Abstract: Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.Type: GrantFiled: May 20, 2014Date of Patent: May 24, 2016Assignees: MTD Products Inc, Case Western Reserve UniversityInventors: Alexander Schepelmann, Kathryn A. Daltorio, Amaury D. Rolin, Jonathan Beno, Bradley E. Hughes, James M. Green, Michael S. Branicky, Roger D. Quinn, Henry H. Snow, Francis L. Merat, Richard E. Hudson
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Publication number: 20150071540Abstract: Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.Type: ApplicationFiled: May 20, 2014Publication date: March 12, 2015Applicants: MTD Products Inc, Case Western Reserve UniversityInventors: Alexander Schepelmann, Kathryn A. Daltorio, Amaury D. Rolin, Jonathan Beno, Bradley E. Hughes, James M. Green, Michael S. Branicky, Roger D. Quinn, Henry H. Snow, Francis L. Merat, Richard E. Hudson
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Patent number: 8731295Abstract: Disclosed is a method for identifying lawn grass which includes capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further includes weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.Type: GrantFiled: July 1, 2010Date of Patent: May 20, 2014Assignee: MTD Products Inc.Inventors: Alexander Schepelmann, Kathryn A. Daltorio, Amaury D. Rolin, Jonathan Beno, Bradley E. Hughes, James M. Green, Michael S. Branicky, Roger D. Quinn, Henry H. Snow, Francis L. Merat, Richard E. Hudson
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Publication number: 20120212638Abstract: This invention provides a method for identifying lawn grass comprising capturing an image of the terrain in front of a mower, segmenting the image into neighborhoods, calculating at least two image statistics for each of the neighborhoods, generating a binary representation of each image statistic. The binary representation of each image statistic is generated by comparing the calculated image statistic values to predetermined image statistic values for grass. The method further comprises weighting each of the binary representations of each image statistic, and summing corresponding neighborhoods for all image statistics. A binary threshold is applied to each of the summed neighborhoods to generate a binary map representing grass containing areas and non-grass containing areas.Type: ApplicationFiled: July 1, 2010Publication date: August 23, 2012Applicants: CASE WESTERN RESERVE UNIVERSITY, MTD PRODUCTS INCInventors: Alexander Schepelmann, Kathryn A. Daltorio, Amaury D. Rolin, Jonathan Beno, Bradley E. Hughes, James M. Green, Michael S. Branicky, Roger D. Quinn, Henry H. Snow, Francis L. Merat, Richard E. Hudson