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Path Planning Algorithms for Unmanned Aerial Vehicles

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Path Planning Algorithms for Unmanned Aerial Vehicles


Elaf Jirjees Dhulkefl | Akif Durdu

https://doi.org/10.31142/ijtsrd23696



Elaf Jirjees Dhulkefl | Akif Durdu "Path Planning Algorithms for Unmanned Aerial Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.359-362, URL: https://www.ijtsrd.com/papers/ijtsrd23696.pdf

In this paper, the shortest path for Unmanned Aerial Vehicles (UAVs) is calculated with two -dimensional (2D) path planning algorithms in the environment including obstacles and thus the robots could perform their tasks as soon as possible in the environment. The aim of this paper is to avoid obstacles and to find the shortest way to the target point. Th e simulation environment was created to evaluate the arrival time on the path planning algorithms (A* and Dijkstra algorithms) for the UAVs. As a result, real-time tests were performed with UAVs

UAV, path planning, A* algorithm, Dijkstra algorithm


IJTSRD23696
Volume-3 | Issue-4, June 2019
359-362
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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