| Summary: | 碩士 === 國立雲林科技大學 === 電子工程系 === 107 === With the ever-changing nature of technology, the research of unmanned aerial vehicles (UAVs) is more popular recently. The unmanned aerial vehicles are generally applied in all kinds of area because they are not easily obstructed by the terrain and easy to move into steep terrain. However, how to find the optimal path is still an unsolved issue. In the existing algorithms, the UAVs tend of find local optimal solution, or the aircraft is trapped in a certain area make route planning failed because the position of the obstacle. In this paper, a novel optimal route planning based on ramp lowest point search method (RLPS) is proposed to find the route from any point in the space to the target. By applying the RLPS method, the path from the starting point to the end point will be planned automatically without complicated calculations. The proposed method will not only achieve self-correct function but also provide the shortest and optimal path.
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