• DocumentCode
    3588321
  • Title

    Following control design of moving targets for an intelligent vehicle combined with computer vision

  • Author

    Geng-Tza Wu ; Hung-Ching Chen ; Jung-Shan Lin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chi Nan Univ., Puli, Taiwan
  • fYear
    2014
  • Firstpage
    203
  • Lastpage
    208
  • Abstract
    This paper develops the design of an intelligent vehicle system with computer vision to achieve the purpose of moving-target following in an unknown indoor environment. The design of this system includes three major parts, namely target following, color image processing, and collision prevention. The proposed system using image processing can analyze and follow the moving-target with the interested color, so the intelligent vehicle has the potentials to move appropriately and reach the desired destination. During the procedure of following to track the desired target, whenever the moving-target is lost, it can apply the useful image information to retrieve the actual target position by camera. In addition, the infrared sensor is employed to return the distance information of moving-target in order to maintain an appropriate following distance between vehicle and desired target for avoiding collision. As a result, some practical experiments are given to illustrate that the purpose of moving-target following is indeed achieved successfully.
  • Keywords
    cameras; collision avoidance; control system synthesis; image colour analysis; infrared imaging; intelligent robots; robot vision; target tracking; camera; collision prevention; color image processing; computer vision; infrared sensor; intelligent vehicle system; moving target following control design; moving target tracking; target position retrieval; unknown indoor environment; Image color analysis; Infrared sensors; Intelligent sensors; Intelligent vehicles; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Control Conference (CACS), 2014 CACS International
  • Print_ISBN
    978-1-4799-4586-3
  • Type

    conf

  • DOI
    10.1109/CACS.2014.7097188
  • Filename
    7097188