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

Kevin Danancier, Delphine Ruvio, Inkyung Sung, Peter Nielsen

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

6 Citationer (Scopus)
75 Downloads (Pure)

Abstrakt

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.

OriginalsprogEngelsk
BogserieIFAC-PapersOnLine
Vol/bind52
Udgave nummer13
Sider (fra-til)1978-1983
Antal sider6
ISSN2405-8963
DOI
StatusUdgivet - sep. 2019
Begivenhed9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 - Berlin, Tyskland
Varighed: 28 aug. 201930 aug. 2019

Konference

Konference9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019
Land/OmrådeTyskland
ByBerlin
Periode28/08/201930/08/2019
Sponsoret al., IFAC TC 1.3. Discrete Event and Hybrid Systems, IFAC TC 3.2. Computational Intelligence in Control, IFAC TC 4.3. Robotics, IFAC TC 5.1. Manufacturing Plant Control, International Federation of Automatic Control (IFAC) - Technical Committee on Manufacturing Modelling for Management and Control, TC 5.2

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