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A Study of Path-Finding Method of Small Unmanned Aerial Vehicles for Collision Avoidance  

Shin, Saebyuk (연세대학교 컴퓨터과학과)
Kim, Jinbae (연세대학교 컴퓨터과학과)
Kim, Shin-Dug (연세대학교 컴퓨터과학과)
Kim, Cheong Ghil (남서울대학교 컴퓨터학과)
Publication Information
Journal of Satellite, Information and Communications / v.12, no.1, 2017 , pp. 76-80 More about this Journal
Abstract
With the fast growing popularity of small UAVs (Unmanned Aerial Vehicles), recent UAV systems have been designed and utilized for the various field with their own specific purposes. UAVs are opening up many new opportunities in the fields of electronics, sensors, camera, and software for pilots. Increase in awareness and mission capabilities of UAVs are driving innovations and new applications driven with the help of low cost and its capability in undertaking high threat task. In particular, small unmanned aerial vehicles should fly in environments with high probability of unexpected sudden change or obstacle appearance in low altitude situations. In this paper, current researches regarding techniques of autonomous flight of smal UAV systems are introduced and we propose a draft idea for planning paths for small unmanned aerial vehicles in adversarial environments to arrive at the given target safely with low cost sensors.
Keywords
unmanned aerial vehicles; path planning; q-learning algorithm; map creation; adversarial environments;
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