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무인비행체 경로계획 기술 동향

Survey on Developing Path Planning for Unmanned Aerial Vehicles

  • 권용선 (자율비행연구실) ;
  • 차지훈 (자율비행연구실)
  • Y.S. Kwon ;
  • J.H. Cha
  • 발행 : 2024.08.01

초록

Recent advancements in autonomous flight technologies for Unmanned Aerial Vehicles (UAVs) have greatly expanded their applicability for various tasks, including delivery, agriculture, and rescue. This article presents a comprehensive survey of path planning techniques in autonomous navigation and exploration that are tailored for UAVs. The robotics literature has studied path and motion planning, from basic obstacle avoidance to sophisticated algorithms capable of dynamic decision-making in challenging environments. In this article, we introduce popular path and motion planning approaches such as grid-based, sampling-based, and optimization-based planners. We further describe the contributions from the state-of-the-art in exploration planning for UAVs, which have been derived from these well-studied planners. Recent research, including the method we are developing, has improved performance in terms of efficiency and scalability for exploration tasks in challenging environments without human intervention. On the basis of these research and development trends, this article discusses future directions in UAV path planning technologies, illustrating the potential for UAVs to perform complex tasks with increased autonomy and efficiency.

키워드

과제정보

본 논문은 한국전자통신연구원 연구개발지원사업의 일환으로 수행되었음[2022-0-00021, 골든타임 확보를 위한 실종자 수색 다수 드론 자율비행 핵심기술 개발].

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