Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery

Bibliographic Details
Main Authors: Hosseini, Maryam, Sevtsuk, Andres, Miranda, Fabio, Cesar, Roberto M., Silva, Claudio T.
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Published: Elsevier BV 2023
Subjects:
Online Access:https://hdl.handle.net/1721.1/148221
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author Hosseini, Maryam
Sevtsuk, Andres
Miranda, Fabio
Cesar, Roberto M.
Silva, Claudio T.
author2 Massachusetts Institute of Technology. Department of Urban Studies and Planning
author_facet Massachusetts Institute of Technology. Department of Urban Studies and Planning
Hosseini, Maryam
Sevtsuk, Andres
Miranda, Fabio
Cesar, Roberto M.
Silva, Claudio T.
author_sort Hosseini, Maryam
collection MIT
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format Article
id mit-1721.1/148221
institution Massachusetts Institute of Technology
last_indexed 2024-09-23T11:52:18Z
publishDate 2023
publisher Elsevier BV
record_format dspace
spelling mit-1721.1/1482212023-03-01T03:30:03Z Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery Hosseini, Maryam Sevtsuk, Andres Miranda, Fabio Cesar, Roberto M. Silva, Claudio T. Massachusetts Institute of Technology. Department of Urban Studies and Planning Urban Studies General Environmental Science Ecological Modeling Geography, Planning and Development 2023-02-27T14:02:32Z 2023-02-27T14:02:32Z 2023-04 Article http://purl.org/eprint/type/JournalArticle 0198-9715 https://hdl.handle.net/1721.1/148221 Hosseini, Maryam, Sevtsuk, Andres, Miranda, Fabio, Cesar, Roberto M. and Silva, Claudio T. 2023. "Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery." Computers, Environment and Urban Systems, 101. 10.1016/j.compenvurbsys.2023.101950 Computers, Environment and Urban Systems Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Prof. Sevtsuk
spellingShingle Urban Studies
General Environmental Science
Ecological Modeling
Geography, Planning and Development
Hosseini, Maryam
Sevtsuk, Andres
Miranda, Fabio
Cesar, Roberto M.
Silva, Claudio T.
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
title Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
title_full Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
title_fullStr Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
title_full_unstemmed Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
title_short Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
title_sort mapping the walk a scalable computer vision approach for generating sidewalk network datasets from aerial imagery
topic Urban Studies
General Environmental Science
Ecological Modeling
Geography, Planning and Development
url https://hdl.handle.net/1721.1/148221
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