{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/92098"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/92098","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Development of MIT geospatial data to CityGML workflows","abstract":"BlindAid is a virtual environment system that helps blind people learn in advance about places they plan to visit. A core component of the BlindAid system is the actual set of virtual models that represent physical locations. In order for BlindAid to be useful, there must be a means to generate new virtual environments. The research in this thesis explores the process of translating geospatial data received from MIT into the CityGML data format, which will then be used to generate virtual environments for BlindAid. We discuss the main challenge of preserving both geometry and semantic information with respect to different data formats. We also identify several initial workflows for geospatial data obtained from the Massachusetts Institute of Technology Department of Facilities, including Sketchup, GIS Shapefile, and Industry Foundation Class models. These workflows serve as a foundation that we can build upon to bring in a variety of geospatial data to BlindAid in the future.","abstract_html":"BlindAid is a virtual environment system that helps blind people learn in advance about places they plan to visit. A core component of the BlindAid system is the actual set of virtual models that represent physical locations. In order for BlindAid to be useful, there must be a means to generate new virtual environments. The research in this thesis explores the process of translating geospatial data received from MIT into the CityGML data format, which will then be used to generate virtual environments for BlindAid. We discuss the main challenge of preserving both geometry and semantic information with respect to different data formats. We also identify several initial workflows for geospatial data obtained from the Massachusetts Institute of Technology Department of Facilities, including Sketchup, GIS Shapefile, and Industry Foundation Class models. These workflows serve as a foundation that we can build upon to bring in a variety of geospatial data to BlindAid in the future.","abstract_has_math":false,"creators":["Wu, Bradley"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Mandayam A. 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They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/92098"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.","Cataloged from PDF version of thesis.","Includes bibliographical references (pages 48-50)."]},{"key":"dc:description.abstract","label":"Abstract","values":["BlindAid is a virtual environment system that helps blind people learn in advance about places they plan to visit. A core component of the BlindAid system is the actual set of virtual models that represent physical locations. In order for BlindAid to be useful, there must be a means to generate new virtual environments. The research in this thesis explores the process of translating geospatial data received from MIT into the CityGML data format, which will then be used to generate virtual environments for BlindAid. We discuss the main challenge of preserving both geometry and semantic information with respect to different data formats. We also identify several initial workflows for geospatial data obtained from the Massachusetts Institute of Technology Department of Facilities, including Sketchup, GIS Shapefile, and Industry Foundation Class models. These workflows serve as a foundation that we can build upon to bring in a variety of geospatial data to BlindAid in the future."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. 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A core component of the BlindAid system is the actual set of virtual models that represent physical locations. In order for BlindAid to be useful, there must be a means to generate new virtual environments. The research in this thesis explores the process of translating geospatial data received from MIT into the CityGML data format, which will then be used to generate virtual environments for BlindAid. We discuss the main challenge of preserving both geometry and semantic information with respect to different data formats. We also identify several initial workflows for geospatial data obtained from the Massachusetts Institute of Technology Department of Facilities, including Sketchup, GIS Shapefile, and Industry Foundation Class models. These workflows serve as a foundation that we can build upon to bring in a variety of geospatial data to BlindAid in the future."],"dc:description.degree":["M. 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