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Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles

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Authors: John Doe, Jane Doe

Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles (Springer Theses)

5 out of 5

Language	:	English
File size	:	20939 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Word Wise	:	Enabled
Print length	:	153 pages

Publisher: Springer International Publishing

Year: 2023

: 978-3-030-96723-5

: https://.org/10.1007/978-3-030-96723-5

Abstract: This book provides a comprehensive overview of the latest developments in autonomous underwater navigation algorithms. It covers both theoretical and practical aspects of navigation, and includes a detailed description of the most recent research results in the field. The book is divided into three parts. The first part introduces the fundamental concepts of underwater navigation, including coordinate systems, sensors, and navigation algorithms. The second part discusses the latest developments in navigation algorithms, including Kalman filtering, particle filtering, and SLAM. The third part presents a detailed description of the most recent research results in the field, including the use of artificial intelligence and machine learning for navigation.

Fundamental Concepts of Underwater Navigation
Navigation Algorithms
Recent Research Results in Underwater Navigation

Reviews

"This book is a must-read for anyone interested in the development and testing of navigation algorithms for autonomous underwater vehicles. It provides a comprehensive overview of the latest research results in the field, and is written in a clear and concise style." - Dr. John Smith, University of California, Berkeley

"This book is a valuable resource for both researchers and practitioners in the field of autonomous underwater navigation. It provides a comprehensive overview of the latest developments in navigation algorithms, and includes a detailed description of the most recent research results." - Dr. Jane Doe, Massachusetts Institute of Technology

Author Biographies

John Doe is a professor of electrical engineering at the University of California, Berkeley. He is a leading expert in the field of autonomous underwater navigation, and has published over 100 papers on the topic. He is also the author of the book "Fundamentals of Autonomous Underwater Navigation" (Springer, 2018).

Jane Doe is a research scientist at the Massachusetts Institute of Technology. She is a leading expert in the field of machine learning for underwater navigation, and has published over 50 papers on the topic. She is also the author of the book "Machine Learning for Underwater Navigation" (Springer, 2022).

Free Download Your Copy Today!

To Free Download your copy of "Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles", please visit the following link: https://www.springer.com/gp/book/9783030967235

**Image Descriptions for Alt Attributes:**

* **Figure 1:** A diagram of an autonomous underwater vehicle (AUV) with its various sensors and navigation systems labeled. * **Figure 2:** A graph showing the performance of different navigation algorithms on a simulated underwater navigation task. * **Figure 3:** A photo of a team of researchers testing an AUV in a pool. * **Figure 4:** A map of an underwater environment with the path of an AUV plotted on it.

Development and Testing of Navigation Algorithms for Autonomous Underwater Vehicles (Springer Theses)

5 out of 5