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Multi-robot Formation based on Object Tracking Method using Fisheye Images

어안 영상을 이용한 물체 추적 기반의 한 멀티로봇의 대형 제어

  • Choi, Yun Won (Automotive IT Platform Research Team, ETRI) ;
  • Kim, Jong Uk (Automotive IT Platform Research Team, ETRI) ;
  • Choi, Jeong Won (Department of Automatic Electrical Engineering, Yeungnam College of Science & Technology) ;
  • Lee, Suk Gyu (Department of Electrical Engineering, Yeungnam University)
  • Received : 2012.11.29
  • Accepted : 2013.04.24
  • Published : 2013.06.01

Abstract

This paper proposes a novel formation algorithm of identical robots based on object tracking method using omni-directional images obtained through fisheye lenses which are mounted on the robots. Conventional formation methods of multi-robots often use stereo vision system or vision system with reflector instead of general purpose camera which has small angle of view to enlarge view angle of camera. In addition, to make up the lack of image information on the environment, robots share the information on their positions through communication. The proposed system estimates the region of robots using SURF in fisheye images that have $360^{\circ}$ of image information without merging images. The whole system controls formation of robots based on moving directions and velocities of robots which can be obtained by applying Lucas-Kanade Optical Flow Estimation for the estimated region of robots. We confirmed the reliability of the proposed formation control strategy for multi-robots through both simulation and experiment.

Keywords

References

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