(The) research on object tracking in persistent UAV security presence system지속적인 무인항공기 경호 시스템 내 물체 추적에 관한 연구

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Unmanned aircraft are used for various missions because of their maneuverability and unmanned nature. If the scope of the mission becomes wider, one unmanned airplane becomes difficult to carry out its mission, and therefore, a plurality of unmanned airplanes form one system. In this paper, we will develop a multi-UAV service system called PUSP(Persistent UAV Security Presence), develop the UAV’s object tracking feature, and verify its usefulness. We investigated the technology that can be used for recognition of unmanned aerial vehicles and applied the object recognition function to PUSP by considering the environment of the PUSP system and optimizing it. We tested this system in various environments, assuming that the guard service system is running on our campus. Unmanned aerial vehicles capable of tracking objects were constructed and optimized by a single large system, which handled a single task of security service simultaneously, and they were made available on an open source basis.
Advisors
Morrison, James R.researcher모리슨, 제임스 R.researcher
Description
한국과학기술원 :산업및시스템공학과,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 산업및시스템공학과, 2017.2,[ix, 33 p. :]

Keywords

Object Tracking; Image Processing; Machine Learning; Multi-UAV System; System Optimization; 물체인식; 영상처리; 기계학습; 무인항공기시스템; 시스템최적화

URI
http://hdl.handle.net/10203/243023
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=675219&flag=dissertation
Appears in Collection
IE-Theses_Master(석사논문)
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