Measuring the cityscape : a pipeline from street-level capture to urban quantification

Ward, W. orcid.org/0000-0002-4904-7294, Dai, M., Arbabi, H. orcid.org/0000-0001-8518-9022 et al. (3 more authors) (2022) Measuring the cityscape : a pipeline from street-level capture to urban quantification. In: Lützkendorf, T., Roswag-Klinge, E., Gundlach, K., Schlez, S., Passer, A. and Habert, G., (eds.) IOP Conference Series : Earth and Environmental Science. sbe Berlin 2022, 20-23 Sep 2022, Berlin, Germany. IOP Publishing .

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Copyright, Publisher and Additional Information: © 2022 The Authors. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (http://creativecommons.org/licenses/by/3.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Keywords: building stock; 3-D modelling; street-level capture; computer vision
Dates:
  • Accepted: 5 August 2022
  • Published (online): 14 September 2022
  • Published: 14 September 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
FunderGrant number
The Alan Turing InstituteEP/W037211/1
Engineering and Physical Sciences Research CouncilEP/V012053/1
Depositing User: Symplectic Sheffield
Date Deposited: 27 Sep 2022 08:20
Last Modified: 27 Sep 2022 08:20
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1755-1315/1078/1/012036
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