9783319553719-3319553712-Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles (Lecture Notes in Control and Information Sciences (474))

Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles (Lecture Notes in Control and Information Sciences (474))

ISBN-13: 9783319553719
ISBN-10: 3319553712
Edition: 1st ed. 2017
Publication date: 2017
Publisher: Springer
Format: Hardcover 527 pages
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Book details

ISBN-13: 9783319553719
ISBN-10: 3319553712
Edition: 1st ed. 2017
Publication date: 2017
Publisher: Springer
Format: Hardcover 527 pages

Summary

Acknowledged author wrote Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles (Lecture Notes in Control and Information Sciences (474)) comprising 527 pages back in 2017. Textbook and eTextbook are published under ISBN 3319553712 and 9783319553719. Since then Sensing and Control for Autonomous Vehicles: Applications to Land, Water and Air Vehicles (Lecture Notes in Control and Information Sciences (474)) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

This edited volume includes thoroughly collected on sensing and control for autonomous vehicles. Guidance, navigation and motion control systems for autonomous vehicles are increasingly important in land-based, marine and aerial operations. Autonomous underwater vehicles may be used for pipeline inspection, light intervention work, underwater survey and collection of oceanographic/biological data. Autonomous unmanned aerial systems can be used in a large number of applications such as inspection, monitoring, data collection, surveillance, etc. At present, vehicles operate with limited autonomy and a minimum of intelligence. There is a growing interest for cooperative and coordinated multi-vehicle systems, real-time re-planning, robust autonomous navigation systems and robust autonomous control of vehicles. Unmanned vehicles with high levels of autonomy may be used for safe and efficient collection of environmental data, for assimilation of climate and environmental models and to complement global satellite systems. The target audience primarily comprises research experts in the field of control theory, but the book may also be beneficial for graduate students.

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