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• W2024285643 abstract "Purpose – This paper aims to describe a recently proposed algorithm in terrain‐based cooperative UAV mapping of the unknown complex obstacle in a stationary environment where the complex obstacles are represented as curved in nature. It also aims to use an extended Kalman filter (EKF) to estimate the fused position of the UAVs and to apply the 2‐D splinegon technique to build the map of the complex shaped obstacles. The path of the UAVs are dictated by the Dubins path planning algorithm. The focus is to achieve a guaranteed performance of sensor based mapping of the uncertain environments using multiple UAVs.Design/methodology/approach – An extended Kalman filter is used to estimate the position of the UAVs, and the 2‐D splinegon technique is used to build the map of the complex obstacle where the path of the UAVs are dictated by the Dubins path planning algorithm.Findings – The guaranteed performance is quantified by explicit bounds of the position estimate of the multiple UAVs for mapping of the complex..." @default.
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• W2024285643 date "2012-08-17" @default.
• W2024285643 modified "2023-09-29" @default.
• W2024285643 title "Terrain based co‐operative UAV mapping of complex obstacles using 2‐D splinegon" @default.
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• W2024285643 doi "https://doi.org/10.1108/17563781211255853" @default.
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