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
- 학위논문
- 저자정보
- 지도교수
- 河錫運
- 발행연도
- 2017
- 저작권
- 慶尙大學校 논문은 저작권에 의해 보호받습니다.
이용수4
이 논문의 연구 히스토리 (2)
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
Currently, small unmanned aerial vehicles (sUAV) are applied in various industrial fields such as commercial, delivery, shooting, environment, and various technical factors for safe and precise mission performance have been studied. Among them, autonomous precision landing technology is a means of ensuring the safety of sUAV and recently emerged as an important technical factor in the use of sUAV in the field of logistics delivery.
However, the sUAV that is used for commercial purposes is used for autonomous landing using the position information based on the GPS sensor, so it is difficult to make a precise landing. In addition, it is more difficult to expect a autonomous precision landing if the area is caused by environmental factors such as terrain, building, weather, etc.
In this paper, we development of autonomous landing algorithm based on image matching method using a sUAV equipped with a downward camera. In the development of the algorithm, the accuracy was verified through the simulation flight test and the actual flight test, and the autonomous landing was possible more precisely than the conventional autonomous landing.
However, the sUAV that is used for commercial purposes is used for autonomous landing using the position information based on the GPS sensor, so it is difficult to make a precise landing. In addition, it is more difficult to expect a autonomous precision landing if the area is caused by environmental factors such as terrain, building, weather, etc.
In this paper, we development of autonomous landing algorithm based on image matching method using a sUAV equipped with a downward camera. In the development of the algorithm, the accuracy was verified through the simulation flight test and the actual flight test, and the autonomous landing was possible more precisely than the conventional autonomous landing.
목차
I.서론 2II.기존자동착륙기술동향 41.기술동향 42.GPS기반착륙의문제점분석 5Ⅲ.제안하는자동정밀착륙알고리듬 111.자동착륙프로세스 112.영상정합기법및적용 163.알고리듬구현 22Ⅳ.실험및결과 261.시험환경구성 262.시뮬레이션비행실험 313.실제비행시험및결과 34Ⅴ.결론 40
최근 본 자료
댓글(0)
0