نوع مقاله : مقاله پژوهشی
نویسندگان
گروه مهندسی کامپیوتر، دانشکده مهندسی برق و کامپیوتر، دانشگاه کاشان، کاشان، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Abstract: Path planning for multiple aerial vehicles in complex environments such as mountainous regions presents several challenges, including avoiding obstacles, maneuvering constraints, and dealing with frequent angular changes in a three-dimensional space. In this paper, the Sparrow Search Algorithm is used to find a path with minimal cost and traversal distance, considering the constraints of turning and climbing angles. The goal of this study is to apply this method in fields such as mapping, environmental monitoring, smart agriculture, and industrial inspection. Simulation results show that the algorithm, by minimizing angular changes and deviations, efficiently guides the aerial vehicles along the optimal path. Various tests conducted on both random and real maps demonstrate that the aerial vehicles successfully avoid obstacles and follow the optimal route. This method can be effective in industries such as 3D mapping and monitoring of complex natural environments.
کلیدواژهها [English]
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