Danancier, Kevin

Nielsen, Peter

Ruvio, Delphine

Sung, Inkyung

English

Following the massive interests in unmanned aerial vehicles (UAVs), various optimization algorithms have been proposed for a path planning problem that allow the units to navigate in a region filled with threats such as a radar detection in air defence systems. Among the algorithms, we address Dijkstra's algorithm and a heuristic algorithm for the path planning of a UAV. The algorithms are compared under various configurations of a region to navigate with respect to the optimality and the computational complexity of the algorithms.</p

Comparison of path planning algorithms for an unmanned aerial vehicle deployment under threats

https://vbn.aau.dk/ws/files/334795990/1_s2.0_S2405896319314776_main.pdf

Comparison of path planning algorithms for an unmanned aerial vehicle deployment under threats

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