• DocumentCode
    2485982
  • Title

    ICU: An introduction to object identification and mapping

  • Author

    MacAllister, Brian ; Santore, John

  • Author_Institution
    Dept. of Math. & Comput. Sci., Bridgewater State Coll., Bridgewater, MA, USA
  • fYear
    2009
  • fDate
    9-10 Nov. 2009
  • Firstpage
    210
  • Lastpage
    217
  • Abstract
    A single undergrad student, who was new to the topics of robot vision and mapping, over the course of a semester completed a scavenger hunt robot project. The robot was programmed to search for and identify a finite set of brightly colored objects using a color blob tracking vision sensor, and display a map of where they were located. The robot was given five trial runs in which it was able to find most of the colored objects and draw a map of where they were located. Overall, the project was a success. These results show the possibility of having such projects that include both vision and mapping be completed by smaller groups of beginner students in short amounts of time; such projects used to involve teams of five or six students.
  • Keywords
    SLAM (robots); image sensors; object detection; object recognition; robot programming; robot vision; tracking; ICU; color blob tracking vision sensor; object identification; object mapping; robot vision; scavenger hunt robot project; Analog circuits; Discrete event simulation; Frequency synthesizers; Hardware design languages; Performance analysis; Phase locked loops; Phase noise; Radio frequency; Semiconductor device modeling; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Practical Robot Applications, 2009. TePRA 2009. IEEE International Conference on
  • Conference_Location
    Woburn, MA
  • Print_ISBN
    978-1-4244-4991-0
  • Electronic_ISBN
    978-1-4244-4992-7
  • Type

    conf

  • DOI
    10.1109/TEPRA.2009.5339618
  • Filename
    5339618