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Artificial Intelligence for Autonomous Vehicles
book

Artificial Intelligence for Autonomous Vehicles

by Sathiyaraj Rajendran, Munish Sabharwal, Yu-Chen Hu, Rajesh Kumar Dhanaraj, Balamurugan Balusamy
March 2024
Intermediate to advanced content levelIntermediate to advanced
272 pages
7h 45m
English
Wiley-Scrivener
Content preview from Artificial Intelligence for Autonomous Vehicles

10Control of Autonomous Underwater Vehicles

M. P. Karthikeyan1, S. Anitha Jebamani2, P. Umaeswari1, K. Chitti Babu1*, C. Geetha1 and Kirupavathi S.1

1RMK Engineering College, Tamil Nadu, India

2Sairam Engineering College, Tamil Nadu, India

Abstract

In recent years, increasing the level of autonomy that underwater vehicles are capable of operating on their own has become a crucial component in order to cope with the highly dangerous and alien environment of the ocean. This is because the ocean is a totally different environment from land. This is due to the fact that the environment of the ocean is unfamiliar as well as lethal. Nowadays, autonomous underwater vehicles, also known as AUVs, are largely chosen over remotely operated vehicles, also known as ROVs, for the majority of the jobs that need engagement with the underwater environment. This is done to prevent the operators from becoming exhausted and to increase the likelihood that they will remain safe. Research on ocean resources, oceanographic mapping, inspections of deep-sea pipelines, and other activities of a similar kind made up the majority of the work linked with underwater intervention. In these kinds of applications, having precise control over an AUV’s location of the greatest importance if one wishes to gather data of the best possible quality. This is because the precision with which the AUV maintains its station and records its location is a crucial role in influencing the quality of the data that are acquired. ...

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Publisher Resources

ISBN: 9781119847465Purchase Link