Abstract
This use case chapter goes through a series of packages developed for the author’s MSc Dissertation that allows an Unmanned Aerial Vehicle (UAV) to land on a moving platform, using only a front facing camera. The implemented system was run and tested on both ROS Indigo and ROS Kinetic and includes software that implements landing zone detection [32], velocity estimation [35], global [30] and local planning [31], as well as simulation [33]. At first, a typical way of running a simulated environment is presented, to allow readers to test its functionality and decide if they want to deepen their understanding of the implemented system. Subsequently, each package is presented separately, highlighting the rationale behind each implementation. After all packages have been analyzed, Concluding, some future work is presented, highlighting the weakness of the implemented software and how it can be improved, along with a summary of the system’s features and advantages.
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Stavrinos, G. (2021). Landing an Autonomous UAV on a Moving Platform Using only a Front Facing Camera. In: Koubaa, A. (eds) Robot Operating System (ROS). Studies in Computational Intelligence, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-45956-7_6
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