Pearson's correlation coefficient: a more realistic threshold for applications on autonomous robotics

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorMiranda Neto, Arthur de-
Data de aceite: dc.date.accessioned2026-02-09T12:32:48Z-
Data de disponibilização: dc.date.available2026-02-09T12:32:48Z-
Data de envio: dc.date.issued2017-08-18-
Data de envio: dc.date.issued2017-08-18-
Data de envio: dc.date.issued2014-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/15228-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1163472-
Descrição: dc.descriptionMany applications for control of autonomous platform are being developed and one important aspect is the excess of information, frequently redundant, that imposes a great computational cost in data processing. Taking into account the temporal coherence between consecutive frames, the PCC (Pearson’s Correlation Coefficient) was proposed and applied as: discarding criteria methodology, dynamic power management solution, environment observer method which selects automatically only the regions-of-interest; and taking place in the obstacle avoidance context, as a method for collision risk estimation for vehicles in dynamic and unknown environments. Even if the PCC is a great tool to help the autonomous or semi-autonomous navigation, distortions in the imaging system, pixel noise, slight variations in the object’s position relative to the camera, and other factors produce a false PCC threshold. Whereas there are homogeneous regions in the image, in order to obtain a more realistic Pearson’s correlation, we propose to use some prior known environment information.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherDavid Publishing Company-
Direitos: dc.rightsacesso aberto-
???dc.source???: dc.sourceComputer Technology and Application-
Palavras-chave: dc.subjectPearson’s correlation-
Palavras-chave: dc.subjectMobile robots-
Palavras-chave: dc.subjectAutonomous robotics-
Palavras-chave: dc.subjectCorrelação de Pearson-
Palavras-chave: dc.subjectRobôs móveis-
Palavras-chave: dc.subjectRobótica autónoma-
Título: dc.titlePearson's correlation coefficient: a more realistic threshold for applications on autonomous robotics-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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