Collaborative perception, localization and mapping for autonomous systems / Yufeng Yue, Danwei Wang.
Yue, Yufeng (Researcher in robotics), author.; Wang, Danwei, Professor, author.
2021
TJ211.495
Available Online

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Title Collaborative perception, localization and mapping for autonomous systems / Yufeng Yue, Danwei Wang.
Author Yue, Yufeng (Researcher in robotics), author.
ISBN 9789811588600 (electronic bk.)
9811588600 (electronic bk.)
9811588597
9789811588594
DOI https://doi.org/10.1007/978-981-15-8860-0
Published Singapore : Springer, [2021]
Language English
Description 1 online resource (149 pages)
Item Number 10.1007/978-981-15-8860-0 doi
Call Number TJ211.495
Dewey Decimal Classification 629.8/92
Summary This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localizationcollaborative mapping for collaborative robot systems. The organization of the book allows the readers to analyze, model and design collaborative perception technology for autonomous robots. It presents the basic foundation in the field of collaborative robot systems and the fundamental theory and technical guidelines for collaborative perception and mapping. The book significantly promotes the development of autonomous systems from individual intelligence to collaborative intelligence by providing extensive simulations and real experiments results in the different chapters. This book caters to engineers, graduate students and researchers in the fields of autonomous systems, robotics, computer vision and collaborative perception.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Description based on print version record.
Added Author Wang, Danwei, Professor, author.
Series Springer tracts in autonomous systems ; v. 2.
Available in Other Form Collaborative Perception, Localization and Mapping for Autonomous Systems.
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Record Appears in Online Resources > Ebooks
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Introduction
Technical Background
Point Registration Approach for Map Fusion
Submap-Based Probabilistic Inconsistency Detection
Hierarchical Map Fusion Framework with Homogeneous Sensors
Collaborative 3D Mapping using Heterogeneous Sensors
All-Weather Collaborative Mapping with Dynamic Objects
Collaborative Probabilistic Semantic Mapping using CNN.

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