A methodology for photometric validation in vehicles visual interactive systems.

Simple item page
dc.contributor.authorFaria, Alexandre Wagner Chagas
dc.contributor.authorMenotti, David
dc.contributor.authorPappa, Gisele Lobo
dc.contributor.authorLara, Daniel da Silva Diogo
dc.contributor.authorAraújo, Arnaldo de Albuquerque
dc.date.accessioned2012-11-29T20:21:31Z
dc.date.available2012-11-29T20:21:31Z
dc.date.issued2012
dc.description.abstractThis work proposes a methodology for automatically validating the internal lighting system of an automobile by assessing the visual quality of each instrument in an instrument cluster (IC) (i.e., vehicle gauges, such as speedometer, tachometer, temperature and fuel gauges) based on the user’s perceptions. Although the visual quality assessment of an instrument is a subjective matter, it is also influenced by some of its photometric features, such as the light intensity distribution. This work presents a methodology for identifying and quantifying non-homogeneous regions in the lighting distribution of these instruments, starting from a digital image. In order to accomplish this task, a set of 107 digital images of instruments were acquired and preprocessed, identifying a set of instrument regions. These instruments were also evaluated by common drivers and specialists to identify their non-homogenous regions. Then, for each region, we extracted a set of homogeneity descriptors, and also proposed a relational descriptor to study the homogeneity influence of a region in the whole instrument. These descriptors were associated with the results of the manual labeling, and given to two machine learning algorithms, which were trained to identify a region as being homogeneous or not. Experiments showed that the proposed methodology obtained an overall precision above 94% for both regions and instrument classifications. Finally, a meticulous analysis of the users’ and specialist’s image evaluations is performedpt_BR
dc.identifier.citationFARIA, A. W. C. et al. A methodology for photometric validation in vehicles visual interactive systems. Expert Systems with Applications, v. 39, n. 4, p. 4122-4134, 2012. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0957417411014497>. Acesso em: 29 nov. 2012.pt_BR
dc.identifier.issn09574174
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/1904
dc.language.isoen_USpt_BR
dc.rights.licenseO periódico Expert Systems with Applications concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3305300363751.
dc.subjectImage intensitypt_BR
dc.subjectHomogeneitypt_BR
dc.subjectSegmentationpt_BR
dc.subjectClassificationpt_BR
dc.subjectPattern recognitionpt_BR
dc.titleA methodology for photometric validation in vehicles visual interactive systems.pt_BR
dc.typeArtigo publicado em periodicopt_BR
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ARTIGO_MethodologyPhotometricValidation.pdf
Size:
1.76 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
DECOM - Artigos publicados em periódicos