지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 448 - 453 (6page)
이용수
초록· 키워드
오류제보하기
A robotic fish localization system in a public aquarium is presented in this paper. The system is built on the marker-based camera pose estimation method. A webcam, an ARM processor, and multiple planar markers are employed for real-time camera pose estimation. The camera is attached at the bottom of the head of the robotic fish. Since the camera and the fish body are connected rigidly, the pose estimation method gives the absolute 6 degree of freedom (DOF) location of the robotic fish. The experiments above ground and underwater validate the proposed localization system. Through the tests in a public aquarium with the integrated robotic fish system, the autonomous swimming was successfully demonstrated.
목차
Abstract
1. INTRODUCTION
2. CAMERA POSE ESTIMATION
3. ROBOTIC FISH LOCALIZATIONSYSTEM
4. EXPERIMENTAL RESULTS
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000912895