Overview
- Reviews exhaustively the key recent research into collaborative perception and mapping for autonomous robots
- Illustrates the complete development of autonomous systems from individual intelligence to collaborative intelligence
- Includes extensive simulations and real experiments’ results presented in the different chapters allowing readers to start from scratch and learn quickly
Part of the book series: Springer Tracts in Autonomous Systems (STRAUS, volume 2)
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Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Danwei Wang is leading the autonomous mobile robotics research group. He received his Ph.D and MSE degrees from the University of Michigan, Ann Arbor in 1989 and 1984, respectively. He received his B.E degree from the South China University of Technology, China in 1982. Since 1989, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Currently, he is professor and the co-director of the ST Engineering – NTU Corporate Laboratory. He is a senator in NTU Academics Council. He has served as general chairman, technical chairman and various positions in international conferences, such as ICARCV and IROS conferences. He is an associate editor for the International Journal of Humanoid Robotics and served as an associate editor of Conference Editorial Board, IEEE Control Systems Society from 1998 to 2005. He was a recipient of Alexander von Humboldt fellowship, Germany. His research interests include robotics, control theory and applications.
Bibliographic Information
Book Title: Collaborative Perception, Localization and Mapping for Autonomous Systems
Authors: Yufeng Yue, Danwei Wang
Series Title: Springer Tracts in Autonomous Systems
DOI: https://doi.org/10.1007/978-981-15-8860-0
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-8859-4Published: 14 November 2020
Softcover ISBN: 978-981-15-8862-4Published: 14 November 2021
eBook ISBN: 978-981-15-8860-0Published: 13 November 2020
Series ISSN: 2662-5539
Series E-ISSN: 2662-5547
Edition Number: 1
Number of Pages: XII, 141
Number of Illustrations: 2 b/w illustrations, 67 illustrations in colour
Topics: Robotics and Automation, Robotics, Computational Intelligence, Artificial Intelligence