• DocumentCode
    1817507
  • Title

    OLIO — A novel framework to help solve difficult problems that rely on data for their solution

  • Author

    Hanlon, M.D. ; Hoath, R.M. ; Orme, E.A.

  • Author_Institution
    Cambridge Consultants, Cambridge, UK
  • fYear
    2012
  • fDate
    25-26 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Problems relying on data for their solution are wide ranging, but to be successfully resolved often require the tight integration of a common set of tools and skills. Cambridge Consultants has created OLIO, a development framework which speeds our implementation of demanding data fusion applications such as those with significant data uncertainty or incomplete data history. The OLIO framework consists of a collection of modules that help the application developer quickly become productive, follow good practice and avoid the repetitive boilerplate tasks that would otherwise be required.
  • Keywords
    data handling; relational databases; sensor fusion; Cambridge consultants; OLIO development framework; application developer; data fusion application; data uncertainty; incomplete data history; repetitive boilerplate task; MATLAB; OLIO; data fusion; framework; system development;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Road Transport Information and Control (RTIC 2012), IET and ITS Conference on
  • Conference_Location
    London
  • Electronic_ISBN
    978-1-84919-674-1
  • Type

    conf

  • DOI
    10.1049/cp.2012.1539
  • Filename
    6489857