SafeDrones: 実行可能なデジタル信頼性アイデンティティによるUAVのリアルタイム信頼性評価
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities
UAVの運用中にリアルタイムで信頼性とリスクを評価するモデルベース手法SafeDronesを提案し、ミッションを適応的に更新可能にする。
著者: Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Jan Reich, Panayiotis Kolios, Maria K. Michael, Theocharis Theocharides, Georgios Ellinas, Daniel Schneider, Yiannis Papadopoulos
分類: cs.RO, cs.SY, eess.SY
原文アブストラクト
The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given the unpredictable operational and environmental factors experienced by UAVs, which are hard to capture solely at design-time. This paper proposes a new reliability modeling approach called SafeDrones to help address this issue by enabling runtime reliability and risk assessment of UAVs. It is a prototype instantiation of the Executable Digital Dependable Identity (EDDI) concept, which aims to create a model-based solution for real-time, data-driven dependability assurance for multi-robot systems. By providing real-time reliability estimates, SafeDrones allows UAVs to update their missions accordingly in an adaptive manner.
