Abstract
This paper suggested the guidance algorithm that enable the unmanned flying objects (UFOs) to track trajectories. It increase the amount of information provided by the measurements and improve overall estimation observability. We assume that small UFOs equipped with camera and navigation sensors are using for improvement of target tracking and an accurate target location estimate. The UFO trajectory optimization is performed for stationary targets and dynamic targets. We considered the Particle Filter for estimation algorithm. The suggested algorithm shows flying object trajectories that increase filter convergence and overall estimation accuracy, illustrating the importance of information-based trajectory design for target localization using small flying objects.
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Lee, Y. (2014). Optimization of Moving Objects Trajectory Using Particle Filter. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_7
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DOI: https://doi.org/10.1007/978-3-319-09333-8_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09332-1
Online ISBN: 978-3-319-09333-8
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