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Titlebook: Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems; Yuanzhe Wang,Danwei Wang Book 2023 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 18:03:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems
編輯Yuanzhe Wang,Danwei Wang
視頻videohttp://file.papertrans.cn/230/229436/229436.mp4
概述Serves as the foundation in the field of multi-vehicle systems.Provides fundamental concepts, theories, and technical guidelines for fleet maneuvering.Promotes the development of autonomous vehicles f
叢書名稱Springer Tracts in Advanced Robotics
圖書封面Titlebook: Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems;  Yuanzhe Wang,Danwei Wang Book 2023 The Editor(s) (if applicable)
描述.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..
出版日期Book 2023
關(guān)鍵詞Autonomous vehicles; Multi-vehicle systems; Multi-Vehicle Fleet Maneuvering; Collaborative Localization
版次1
doihttps://doi.org/10.1007/978-981-19-5798-7
isbn_softcover978-981-19-5800-7
isbn_ebook978-981-19-5798-7Series ISSN 1610-7438 Series E-ISSN 1610-742X
issn_series 1610-7438
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-22 00:11:05 | 只看該作者
Renate Augstein,Manfred Paulus,Vera Falck hardware. In such applications, a good choice is to generate the map of the environment in advance and localize vehicles by matching this map afterwards. This chapter will consider vehicle fleet maneuvering in such scenarios. In addition, a more important issue, collision avoidance, will be discuss
板凳
發(fā)表于 2025-3-22 00:24:29 | 只看該作者
Bettina Schuhrke,Susanne Witte,Elisa K?nigation technologies introduced in Chap.?4 cannot be used. Moreover, anchor-based localization technologies are not applicable either, as GPS signals may not be available and pre-installation work is impossible. To enable vehicle fleet maneuvering in such scenarios, this chapter introduces a vision-ba
地板
發(fā)表于 2025-3-22 07:48:09 | 只看該作者
https://doi.org/10.1007/978-3-662-44244-9ts. The introduced approach aims to construct a queue configuration which constrains the distance and bearing angle of the leader with respect to the follower. Besides, it uses the detection results of vision-based technique directly without taking measurement noise into consideration. This chapter
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發(fā)表于 2025-3-22 08:57:47 | 只看該作者
https://doi.org/10.1007/978-3-662-44244-9ous two chapters both use vision-based techniques to achieve relative localization between vehicles. Vision-based technologies, however, are subject to environmental interference and motion blurring. In view of this, this chapter introduces a new relative localization technology, map matching. This
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