自律UAVの意思決定に基づく経路計画:サーベイ
Decision-Making-Based Path Planning for Autonomous UAVs: A Survey
自律UAVの経路計画において意思決定を活用した研究を、探索経路計画と情報獲得経路計画の2つの流れに整理し、データのモデル化と理解の特徴に焦点を当てて概観したサーベイ。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Kelen C. Teixeira Vivaldini, Robert Pěnička, Martin Saska
分類: cs.RO
原文アブストラクト
One of the most critical features for the successful operation of autonomous UAVs is the ability to make decisions based on the information acquired from their surroundings. Each UAV must be able to make decisions during the flight in order to deal with uncertainties in its system and the environment, and to further act upon the information being received. Such decisions influence the future behavior of the UAV, which is expressed as the path plan. Thus, decision-making in path planning is an enabling technique for deploying autonomous UAVs in real-world applications. This survey provides an overview of existing studies that use aspects of decision-making in path planning, presenting the research strands for Exploration Path Planning and Informative Path Planning, and focusing on characteristics of how data have been modeled and understood. Finally, we highlight the existing challenges for relevant topics in this field.
