• DocumentCode
    1242097
  • Title

    Ant colony optimisation algorithm for detection and tracking of non-structured roads

  • Author

    Arnay, R. ; Acosta, L. ; Sigut, M. ; Toledo, J.

  • Author_Institution
    Dept. of Syst. Eng. & Automatics, Univ. of La Laguna, Santa Cruz de Tenerife
  • Volume
    44
  • Issue
    12
  • fYear
    2008
  • Firstpage
    725
  • Lastpage
    727
  • Abstract
    An ant colony optimisation approach is proposed to address the problem of non-structured roads real-time detection and tracking by a self-guided electrical vehicle. The solution adopted tries to find some properties describing the probability that a pixel belongs to the boundaries of the road, and then formalises the road detection problem as an optimisation one.
  • Keywords
    electric vehicles; image processing; optimisation; road vehicles; tracking; ant colony optimisation algorithm; electrical vehicle; nonstructured road detection; nonstructured road tracking; probability; road detection problem;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20080608
  • Filename
    4539002
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1242097