Target Recognition by Components for Mobile Robot Navigation (Articolo in rivista)

Type
Label
  • Target Recognition by Components for Mobile Robot Navigation (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cicirelli G. 1, D'Orazio T. 1, Distante A. 1 (2003)
    Target Recognition by Components for Mobile Robot Navigation
    in Journal of experimental and theoretical artificial intelligence (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cicirelli G. 1, D'Orazio T. 1, Distante A. 1 (literal)
Pagina inizio
  • 281 (literal)
Pagina fine
  • 297 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Publication on Taylor & Francis international journal, cited in INSPEC; Elsevier Bibliographic Data Base; Zentralblatt MATH; Ebsco Publishing; ISI Current Contents; Cambridge Scientific Abstracts; American Psychological Association; New Jour; Compumath Citation Index; Research Alert; Sci Search; Computers & Artificial Intelligence; Artificial Intelligence Abstracts; The Computer Literature Index; SciBase and Zetoc. The current impact factor is 0.302. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 15 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
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  • The journal publication deals with the recognition of a target of the environment for the navigation of a mobile robot. The capability of recognizing particular objects is very important in robot navigation framework either in indoor or in outdoor environments. The challenging issue faced in the work is the detection of a natural occurring object of the environment: no intervention on the working environment is needed. The second novel aspect of the detection approach is its autoconsistency: it is a robust and reliable system able to deal with scale changes, lighting conditions and viewpoint variations without any parameter adjustment. (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1-CNR (literal)
Titolo
  • Target Recognition by Components for Mobile Robot Navigation (literal)
Abstract
  • This paper presents a vision-based technique for detecting targets of the environment which have to be reached by an autonomous mobile robot during its navigational tasks. The targets the robot has to reach are the doors of author's office building. The detection of the door has been performed by detecting its most significant components in the image and it is based on data classification. Two neural classifiers have been trained for recognizing single components of the door. Then a combining algorithm, based on heuristic considerations, checks that they are in the proper geometric configuration of the structure of the door. The novelty of this work is to use together colour and shape information for identifying features and for detecting the components of the target. The approach based on learning by components is able to cleverly solve the problems of scale changes, perspective variations and partial occlusions. The obtained detecting system has been tested on a large test set of real images showing a high reliability and robustness: doors of different rooms, under different illumination conditions and by different viewpoints have been successfully recognized. Results in terms of door detection rate and false positive rate are presented throughout the paper. (literal)
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