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221004 ||| eng |
020 |
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|a 9789811957987
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100 |
1 |
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|a Wang, Yuanzhe
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245 |
0 |
0 |
|a Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems
|h Elektronische Ressource
|c by Yuanzhe Wang, Danwei Wang
|
250 |
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|a 1st ed. 2023
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260 |
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|a Singapore
|b Springer Nature Singapore
|c 2023, 2023
|
300 |
|
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|a XIII, 153 p. 45 illus., 38 illus. in color
|b online resource
|
505 |
0 |
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|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
|
653 |
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|a Control, Robotics, Automation
|
653 |
|
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|a Control and Systems Theory
|
653 |
|
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|a Control engineering
|
653 |
|
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|a Robotics
|
653 |
|
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|a Robotic Engineering
|
653 |
|
|
|a Automation
|
700 |
1 |
|
|a Wang, Danwei
|e [author]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
490 |
0 |
|
|a Springer Tracts in Advanced Robotics
|
028 |
5 |
0 |
|a 10.1007/978-981-19-5798-7
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-19-5798-7?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 629.8
|
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
|