A method to verify a path planning by a back-propagation articial neural network
نویسندگان
چکیده
This paper proposes a method to reduce the error on the position given by the global position system (GPS), using a back-propagation artificial neural network (ANN) focused on a known linear path employed as target, which is used on the creation of path planning for an Unmanded Aereal Vehicle (UAV) tested on real time. This document shows the step by step development of the equations used and the algorithm for trigonometric functions and then to a lineal path made by a path planning code. The implementation of this project was made on Python for real time flight in which the GPS data are acquired and graphed to analyse results.
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