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Books > Professional & Technical > Transport technology > Aerospace & aviation technology
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Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments (Hardcover, 1st ed. 2021)
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Multi-UAS Minimum Time Search in Dynamic and Uncertain Environments (Hardcover, 1st ed. 2021)
Series: Springer Theses
Expected to ship within 10 - 15 working days
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This book proposes some novel approaches for finding unmanned
aerial vehicle trajectories to reach targets with unknown location
in minimum time. At first, it reviews probabilistic search
algorithms that have been used for dealing with the minimum time
search (MTS) problem, and discusses how metaheuristics, and in
particular the ant colony optimization algorithm (ACO), can help to
find high-quality solutions with low computational time. Then, it
describes two ACO-based approaches to solve the discrete MTS
problem and the continuous MTS problem, respectively. In turn, it
reports on the evaluation of the ACO-based discrete and continuous
approaches to the MTS problem in different simulated scenarios,
showing that the methods outperform in most all the cases over
other state-of-the-art approaches. In the last part of the thesis,
the work of integration of the proposed techniques in the ground
control station developed by Airbus to control ATLANTE UAV is
reported in detail, providing practical insights into the
implementation of these methods for real UAVs.
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