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portada When Deep Learning Meets Geometry for Air-to-Ground Perception on Drones
Type
Physical Book
Publisher
Year
2024
Language
English
Pages
206
Format
Hardcover
Dimensions
24.4x17 cm
ISBN13
9783725825073

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

Dongdong Li;Gongjian Wen;Yangliu Kuai (Author) · MDPI AG · Hardcover

When Deep Learning Meets Geometry for Air-to-Ground Perception on Drones - Dongdong Li;Gongjian Wen;Yangliu Kuai

New Book Imported to Taiwan
Delivery: 04 Nov - 12 Nov Shipping: 5 to 6 business days.
NT$ 2,660
NT$ 2,660

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

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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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