PUBLISHED PAPERS #1.04

Ramil Mammadli, Elkhan Sabziev, Burkit Makhutov
Optimal Path Planning for Autonomous Drones Using Dijkstra's Algorithm
Abstract. This paper proposes an improved Dijkstra's algorithm for optimal path planning of autonomous drones in complex environments. The main goal of the research is to develop an accurate path planning method that increases energy efficiency and avoids obstacles. Calculations account for additional energy loss caused by the drone's turning angles. Simulation results demonstrate shorter paths and energy savings compared to traditional methods.
Keywords: autonomous drones, path planning, Dijkstra's algorithm, energy efficiency, 3D navigation
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