Earticle

초록

영어

Currently, the operation of unmanned aerial vehicle (UAV) is regulated to be able to fly only within the visible range, but in recent years, the needs for operation in the invisible area, in the urban area and at night have increased. In order to operate UAVs in the invisible area, at night, and in the urban area, a flight path for UAVs must be prepared like those operated by manned aircraft, and for this, it is necessary to establish an unmanned aircraft system traffic management (UTM). In order to establish the UTM, information on the minimum separation distance to prevent collisions with UAVs and buildings is required, and accordingly, information on the navigation performance of UAVs is required. In order to analyze the navigation performance of an UAV, total system error (TSE), which is the difference between the planned flight path and the actual location of the UAV, is required. If the collected data are insufficient and classification according to integrity, independence, and direction is not performed, accurate navigation performance is not derived. In this paper, propose a navigation performance analysis method of UAV that is derived TSE using flight data and modeled with normal distribution, analyze performance.

목차

Abstract
1. Introduction
2. Proposed Method
2.1 Integrity Check
2.3 TSE Derivation
2.4 Verify Data Independence
2.5 TSE Modeling
3. Experiments Result
3.1 Flight Test & Flight Path
3.2 Data Analysis Result
4. Conclusion
References

키워드

저자

• Jeonghwan Oh [ Master’s Students, Dept. of Aeronautical Systems Engineering, Hanseo University, Taean, Korea ]
• Daehan Won [ Master’s Students, Dept. of Aeronautical Systems Engineering, Hanseo University, Taean, Korea ]
• Dongjin Lee [ Associate Professor, Dept. of Unmanned Aircraft Systems, Hanseo University, Taean, Korea ] Corresponding author
• Doyoon Kim [ Senior Researcher, Dept. of artificial Intelligence Research Division, Korea Aerospace Research Institute, Daejeon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380