Path-Planning of a Certain UAV Using Neural-Network Method

Unmanned Aerial Vehicles(UAVs) are widely used for civilian and military purposes, such as surveillance, reconnaissance, search and rescue, border patrol etc. In this paper a single UAV is equipped with a gimballed camera to conduct surveillance operations, the route planning method that uses neural network method is presented. The Neutral network method reduces computational requirements by removing the need for collocation and providing fast computation of gradients and thus the computation costs reduces significantly. The simulation results show the flexibility of the neutral network.