A Novel Optimal Route Planning Based on Ramp Lowest Point Search Method for Unmanned Aerial Vehicle
Po‐Yu Kuo, Jia-Wei Wan · 2018
The research area of unmanned aerial vehicles (UAVs) is getting popular recently. However, how to find the optimal path is still an unsolved issue. 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.