Localization Using Vision-Based Robot

  • Yeol-Min Yun
  • Ho-Yun Yu
  • Jang-Myung Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8918)

Abstract

The robot recognizes the position for SLAM (Simultaneous Localization And Map-Building) There are a number of ways, many of the methods recognize the correct position to fuse the various sensors and filter used. There are a number of ways for localization for SLAM of the robot. Some methods use the fused sensor or filter for accurate localization. In this paper, Robot localization using one fixed camera system is proposed. Robot localization using color-based CAMShift algorithm which method of object tracking. The image processing uses the OpenCV library.

Keywords

CAMShift Vision Localization OpenCV 

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References

  1. 1.
    Hwang, Y.S., Kim, H.W., Lee, D.J., Lee, J.M.: 3D Map Building for slopes based on modeling of Mobile Robot. In: 2014 IEEE International Conference on Indestrial Technology (IEEE ICIT 2014). Haeundae Grand Hotel, Busan (2014)Google Scholar
  2. 2.
    Park, J.H., Lee, J.M.: Beacon selection and calibration for the efficient localization of a mobile robot. Robotica 32(01), 115–131 (2014) ISSN 0263-5747Google Scholar
  3. 3.
    Lee, J.H., Kim, H.S.: A Study of High Precision Position Estimator Using GPS/INS Sensor Fusion. Journal of The Institute of Electronics Engineers of Korea 49(11) (2012)Google Scholar
  4. 4.
    OpenCV, Open source Computer Vision library, http://opencv.willowgarage.com/wiki/

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yeol-Min Yun
    • 1
  • Ho-Yun Yu
    • 1
  • Jang-Myung Lee
    • 1
  1. 1.Department of Electrical and Computer EngineeringPusan National UniversitySouth Korea

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