- 어안 영상을 이용한 물체 추적 기반의 한 멀티로봇의 대형 제어
- ㆍ 저자명
- 최윤원,김종욱,최정원,이석규,Choi. Yun Won,Kim. Jong Uk,Choi. Jeong Won,Lee. Suk Gyu
- ㆍ 간행물명
- 제어·로봇·시스템학회 논문지
- ㆍ 권/호정보
- 2013년|19권 6호|pp.547-554 (8 pages)
- ㆍ 발행정보
- 제어로봇시스템학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
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.