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Collaborative fleet maneuvering for ...

Wang, Yuanzhe.

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Collaborative fleet maneuvering for multiple autonomous vehicle systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Collaborative fleet maneuvering for multiple autonomous vehicle systems/ by Yuanzhe Wang, Danwei Wang.
Author:	Wang, Yuanzhe.
other author:	Wang, Danwei.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiii, 153 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Introduction -- Technical Background -- Anchor-Based Flexible Fleet Maneuvering -- Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments -- Vision-Based Leader-Follower Queue Maneuvering in Unknown Cluttered Environments -- Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments -- Map Matching Based Leader-Follower Path Retracing in Infrastructure-Free Environments -- Multi-UAV Optimal Fleet Flying for Air Patrol in Constrained Environments -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Automated vehicles - Design and construction. -
Online resource:	https://doi.org/10.1007/978-981-19-5798-7
ISBN:	9789811957987

Collaborative fleet maneuvering for multiple autonomous vehicle systems
Wang, Yuanzhe.

Collaborative fleet maneuvering for multiple autonomous vehicle systems[electronic resource] /by Yuanzhe Wang, Danwei Wang. - Singapore :Springer Nature Singapore :2023. - xiii, 153 p. :ill. (chiefly color), digital ;24 cm. - Springer tracts in advanced robotics,v. 1501610-742X ;. - Springer tracts in advanced robotics ;v. 150..

Introduction -- Technical Background -- Anchor-Based Flexible Fleet Maneuvering -- Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments -- Vision-Based Leader-Follower Queue Maneuvering in Unknown Cluttered Environments -- Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments -- Map Matching Based Leader-Follower Path Retracing in Infrastructure-Free Environments -- Multi-UAV Optimal Fleet Flying for Air Patrol in Constrained Environments -- Conclusion.

This book presents theoretical foundations and technical implementation guidelines for multi-vehicle fleet maneuvering, which can be implemented by readers and can also be a basis for future research. As a research monograph, this book presents fundamental concepts, theories, and technologies for localization, motion planning, and control of multi-vehicle systems, which can be a reference book for researchers and graduate students from different levels. As a technical guide, this book provides implementation guidelines, pseudocode, and flow diagrams for practitioners to develop their own systems. Readers should have a preliminary knowledge of mobile robotics, state estimation and automatic control to fully understand the contents in this book. To make this book more readable and understandable, extensive experimental results are presented to support each chapter.

ISBN: 9789811957987

Standard No.: 10.1007/978-981-19-5798-7doiSubjects--Topical Terms:

3608974
Automated vehicles
--Design and construction.

LC Class. No.: TL152.8

Dewey Class. No.: 629.046

Collaborative fleet maneuvering for multiple autonomous vehicle systems
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245 1 0 $a Collaborative fleet maneuvering for multiple autonomous vehicle systems $h [electronic resource] / $c by Yuanzhe Wang, Danwei Wang.
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505 0 $a Introduction -- Technical Background -- Anchor-Based Flexible Fleet Maneuvering -- Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments -- Vision-Based Leader-Follower Queue Maneuvering in Unknown Cluttered Environments -- Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments -- Map Matching Based Leader-Follower Path Retracing in Infrastructure-Free Environments -- Multi-UAV Optimal Fleet Flying for Air Patrol in Constrained Environments -- Conclusion.
520 $a This book presents theoretical foundations and technical implementation guidelines for multi-vehicle fleet maneuvering, which can be implemented by readers and can also be a basis for future research. As a research monograph, this book presents fundamental concepts, theories, and technologies for localization, motion planning, and control of multi-vehicle systems, which can be a reference book for researchers and graduate students from different levels. As a technical guide, this book provides implementation guidelines, pseudocode, and flow diagrams for practitioners to develop their own systems. Readers should have a preliminary knowledge of mobile robotics, state estimation and automatic control to fully understand the contents in this book. To make this book more readable and understandable, extensive experimental results are presented to support each chapter.
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