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This review article surveys recent AI-based techniques in deep learning for autonomous navigation, focusing on key functions such as obstacle detection, scene perception, path planning, and control. It highlights the rapid advancements in deep learning applications across various domains, the challenges faced, and the need for further exploration of integrating deep learning with traditional navigation methods. The paper serves as a comprehensive resource for researchers and practitioners in the field, summ

Author

roadtoaljannah0

Language

EN