• DocumentCode
    2810775
  • Title

    Occupancy grid mapping: An empirical evaluation

  • Author

    Collins, Thomas ; Collins, J.J. ; Ryan, Conor

  • Author_Institution
    Univ. of Limerick, Limerick
  • fYear
    2007
  • fDate
    27-29 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper a quantitative analysis of robotic mapping utilising the fields dominant paradigm, the occupancy grid, is presented. The aim of this work is to determine which approach to the robotic mapping problem imbues a mobile robot with the greatest ability to create an accurate representation of its operating environment. We accomplish this by analysing the performance of several established mapping techniques using identical test data. Through evaluating the maps generated by these paradigms using an extensible benchmarking suite that our group has developed we outline which paradigm yields the greatest representational ability.
  • Keywords
    knowledge representation; learning (artificial intelligence); mobile robots; navigation; machine learning; mobile robot; occupancy grid mapping; operating environment representation; robotic mapping; Grid computing; Information analysis; Information systems; Mobile robots; Performance analysis; Robot sensing systems; Sensor phenomena and characterization; Sonar detection; Testing; Uncertainty; Machine Learning; Mapping; Modeling and Simulation; Occupancy Grid; Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation, 2007. MED '07. Mediterranean Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-1282-2
  • Electronic_ISBN
    978-1-4244-1282-2
  • Type

    conf

  • DOI
    10.1109/MED.2007.4433772
  • Filename
    4433772