Path Planning and Collision Avoidance with Artificial Intelligence for a Quadrotor UAV
Mehmet Karahan, Çoşku Kasnakoğlu · 2021 International Conference Automatics and Informatics (ICAI) · 2021
Artificial intelligence has brought new features to unmanned aerial vehicles. Path planning, trajectory optimization and obstacle avoidance are some of the features that artificial intelligence brings to drones. In this study, path planning optimization and collision avoidance with artificial intelligence for an unmanned aerial vehicle are emphasized. Path planning and collision avoidance simulations were performed using MATLAB software under ideal conditions and under noisy conditions. It is shown that the unmanned aerial vehicle finds the shortest path on maps with various obstacles.