When Deep Learning Meets Geometry for Air-to-Ground Perception on Drones

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When Deep Learning Meets Geometry for Air-to-Ground Perception on Drones
by Dongdong Li, Gongjian Wen
English | 2024 | ISBN: 3725825076 | 208 Pages | PDF | 57 MB

This special issue primarily focuses on the application of deep learning methods in the field of drones. In areas such as drone control, communication and image processing, techniques based on deep learning have significantly outperformed traditional approaches. Our goal is to reveal the potential and prospects of these cutting-edge technologies. In this issue, leading experts share their insights, research findings, and visions for the future, demonstrating the extensive prospects of deep learning in the drone sector and providing important inspiration for the development of this field. We will work together to build smarter and more diverse drones.


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