Abstract
Deep learning, a subset of machine learning, has revolutionized various fields, including autonomous drone navigation. This article explores the application of deep learning techniques, such as convolutional neural networks (CNNs) and reinforcement learning (RL), in enabling drones to navigate autonomously in dynamic environments. By leveraging large datasets and powerful neural networks, drones can recognize obstacles, adapt to changing conditions, and optimize flight paths without human intervention. The article discusses the current challenges in autonomous drone navigation, the benefits of deep learning in this domain, and the future prospects for integrating deep learning into commercial and military drone systems.
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