Unmanned aerial vehicles (UAVs) will help to capturehigh definition aerial photos and it is frequently used for large-scale urban 3D reconstruction purposes.The 3D path planning of unmanned aerial vehicle is now utilized in border defense purpose to analyze through virtual aerial photography. Path planning is one of the most important elements for mission definition and management of manned flight vehicles and it became crucial after the introduction and growth of Unmanned Aerial Vehicles (UAVs), frequently exploiting autonomous flight capabilities. It is important to raise the autonomy level of UAVs for making it more practically useful. The AutonomyUAVs will make their own decisions by processing the captured information obtainedby sensors, and potentially covers the whole range of the vehicle operations without human intervention.
The Visibility line (VL) method is implied for producing a path with the certain shortest lengthand it is used to develop a three-dimensional path planning algorithm. Here to ensure the distraction-free or collision of an environment 3D path will be planned for that purpose alone we implement a3D path planning algorithm. 3D path planning of unmanned aerial vehicle. A* generates solutions strongly to the suboptimal because of certain fixed limits, and which comes out in any application to path planning. We will perform our method on real and simulated data sets on extensive evaluation in comparison with a state-of-the-art method.Areasonable computational time is required on current results by considering the number of nodes utilized in the graphs. Then, comparing the two graphsof those search methods, the advantages of Theta* become evident. And thus finally this algorithm reduces the length of the track avoiding a considerable number of nodes, requiring just a slightly larger computational time than A*.
ALGORITHM AND ITS FUNCTION: