Evidence map›Paper›PMID 39771729›Full record

ArticleSensors (Basel, Switzerland)2024

Vertex-Oriented Method for Polyhedral Reconstruction of 3D Buildings Using OpenStreetMap.

Hanli Liu, Carlos J Hellín, Abdelhamid Tayebi, Francisco Calles, Josefa Gómez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hanli LiuDepartment of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.ORCID 0009-0001-8559-0585
Carlos J HellínDepartment of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.ORCID 0000-0002-1576-5466
Abdelhamid TayebiDepartment of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.ORCID 0000-0002-6216-257X
Francisco CallesDepartment of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.ORCID 0009-0008-8433-4660
Josefa GómezDepartment of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain.ORCID 0000-0003-0111-8898

Funding

Vice Rectorate for Research and Knowledge Transfer of the University of Alcala and the Comunidad de Madrid, Spain Project CM/JIN/2021-033 and Project PIUAH22/IA-024.
6 · The paper itself

Abstract

This work presents the mathematical definition and programming considerations of an efficient geometric algorithm used to add roofs to polyhedral 3D building models obtained from OpenStreetMap. The algorithm covers numerous roof shapes, including some well-defined shapes that lack an explicit reconstruction theory. These shapes include gabled, hipped, pyramidal, skillion, half-hipped, gambrel, and mansard. The input data for the developed code consist of latitude and longitude coordinates defining the target area. Geospatial data necessary for the algorithm are obtained through a request to the overpass-turbo service. The findings showcase outstanding performance for buildings with straightforward footprints, but they have limitations for the ones with intricate footprints. In future work, further refinement is necessary to solve the mentioned limitation.

Indexed as

3D city modeling3D reconstructionOpenStreetMap

Identifiers

PMID39771729
PMCPMC11679330

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.