To solve the problem that the traditional rapidly-exploring random tree(RRT) algorithm can not be directly applied to the path planning of Unmanned Aerial Vehicle(UAV), add the UAV turning angle constraint to the planning algorithm in the process of random point were produced, it make the path meet the capable of flying; For the problem that we could not determine the random point about the rapidly-exploring random tree(RRT) algorithm, this paper provide a improvement algorithm which combined aircraft kinematics equation, and use this algorithm to the three dimensional(3D) path planning . The simulation result proved that this algorithm could avoid the threat effectively, and the accuracy of planning is more precise, so the path planned by the algorithm proposed in this paper is more accorded the requirements of actual planning path.
목차
Abstract 1. Introduction 2. The Basic Theory of Algorithm 2.1. The Basic Theory of RRT Algorithm 2.2. The Basic Theory of RRT- Connect Algorithm 3. The Application of Improved RRT Algorithm in the UAV Path Planning 4. Simulation and Results 5. Conclusion Acknowledgement References
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.1