Evidence map›Paper›PMID 34460691›Full record

ArticleJournal of imaging2020

A Cost-Effective System for Aerial 3D Thermography of Buildings.

Claudia Daffara, Riccardo Muradore, Nicola Piccinelli, Nicola Gaburro, Tullio de Rubeis, Dario Ambrosini

Abstract read
In one paragraph

Article in Journal of imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Claudia DaffaraDept. of Computer Science, University of Verona, str. Le Grazie 15, I-37134 Verona, Italy.ORCID 0000-0002-1673-9411
Riccardo MuradoreDept. of Computer Science, University of Verona, str. Le Grazie 15, I-37134 Verona, Italy.ORCID 0000-0002-0287-6896
Nicola PiccinelliDept. of Computer Science, University of Verona, str. Le Grazie 15, I-37134 Verona, Italy.ORCID 0000-0002-8195-1531
Nicola GaburroDept. of Computer Science, University of Verona, str. Le Grazie 15, I-37134 Verona, Italy.
Tullio de RubeisDept. of Industrial and Information Engineering and Economics, University of L'Aquila, P.le Pontieri 1, I-67100 L'Aquila, Italy.ORCID 0000-0002-8536-369X
Dario AmbrosiniISASI-CNR, Institute of Applied Science and Intelligent Systems, Via Campi Flegrei 34, I-80078 Pozzuoli (NA), Italy.ORCID 0000-0002-8905-0316

Funding

POR FSE 2014-2020 Regione del Veneto Project Code: 1695-29-2216-2016
6 · The paper itself

Abstract

Three-dimensional (3D) imaging and infrared (IR) thermography are powerful tools in many areas in engineering and sciences. Their joint use is of great interest in the buildings sector, allowing inspection and non-destructive testing of elements as well as an evaluation of the energy efficiency. When dealing with large and complex structures, as buildings (particularly historical) generally are, 3D thermography inspection is enhanced by Unmanned Aerial Vehicles (UAV-also known as drones). The aim of this paper is to propose a simple and cost-effective system for aerial 3D thermography of buildings. Special attention is thus payed to instrument and reconstruction software choice. After a very brief introduction to IR thermography for buildings and 3D thermography, the system is described. Some experimental results are given to validate the proposal.

Indexed as

3D modellingcultural heritageenergy efficiencyinfrared thermographyunmanned aerial vehicles

Identifiers

PMID34460691
PMCPMC8321062

What OpenQuestion holds

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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.