Laser scanner and drone photogrammetry: A statistical comparison between 3-dimensional models and its impacts on outdoor crime scene registration

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dc.contributor.authorCunha, Rafael Rodrigues
dc.contributor.authorArrabal, Claude Thiago
dc.contributor.authorDantas, Marcelo Mourão
dc.contributor.authorBassaneli, Hélio Rodrigues [UNESP]
dc.contributor.institutionSuperintendência da Polícia Técnico Científica do Estado de São Paulo SPTC
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:47:45Z
dc.date.available2022-04-28T19:47:45Z
dc.date.issued2022-01-01
dc.description.abstractThis work evaluated the accuracy of 3D models generated by a DJI Mavic Pro drone with 3DF Zephyr software photogrammetry. The models were compared to models generated by a Trimble X7 laser scanner. The tests were performed in the outdoor area of a vehicle parking inbound to simulate the characteristics of a crime scene. Ground control points (GCPs) were distributed in ten positions within the surroundings. In manual flight, the drone performed nadiral photographs from one side to the other side and with an elliptical 45° center pointed. Three altitudes where tested: 10 m, 20 m and 40 m. The Trimble X7 laser scanner performed six scans and generated one set of point clouds. Drone photogrammetry returned eligible data for distances of 20 m and 40 m with errors of ~0.25 mm. To increase the overlay in the photogrammetry procedure, all photographs from distances of 10–40 m were processed, returning an error of ~0.53 mm. The results of the measured distances, which were manually picked from the GCPs, from the 3D-scanned model and photogrammetric 3D models were then statistically analyzed. The Trimble X7 laser scanner showed an average error of 3 cm, which was approximately equivalent to the results obtained with all images or when using a known scale value for the drone photographs, presenting no significant differences among the evaluated methods.en
dc.description.affiliationSuperintendência da Polícia Técnico Científica do Estado de São Paulo SPTC
dc.description.affiliationUniversidade Estadual Paulista UNESP – Centro Nacional de Monitoramento de Desastres Naturais - CEMADEN
dc.description.affiliationUnespUniversidade Estadual Paulista UNESP – Centro Nacional de Monitoramento de Desastres Naturais - CEMADEN
dc.identifierhttp://dx.doi.org/10.1016/j.forsciint.2021.111100
dc.identifier.citationForensic Science International, v. 330.
dc.identifier.doi10.1016/j.forsciint.2021.111100
dc.identifier.issn1872-6283
dc.identifier.issn0379-0738
dc.identifier.scopus2-s2.0-85120315395
dc.identifier.urihttp://hdl.handle.net/11449/222952
dc.language.isoeng
dc.relation.ispartofForensic Science International
dc.sourceScopus
dc.subjectCrime scene
dc.subjectDrone
dc.subjectLaser scanning
dc.subjectPhotogrammetry
dc.subjectPoint cloud
dc.subjectUAV
dc.titleLaser scanner and drone photogrammetry: A statistical comparison between 3-dimensional models and its impacts on outdoor crime scene registrationen
dc.typeArtigo

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