Collaborative 3D Mapping Using Heterogeneous Sensors
Operating multiple robots in an unstructured environment is challenging due to its high complexity and uncertainty. In such applications, the integration of individual maps generated by heterogeneous sensors is a critical problem, especially the fusion of
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Yufeng Yue Danwei Wang
Collaborative Perception, Localization and Mapping for Autonomous Systems
Springer Tracts in Autonomous Systems Volume 2
Series Editor Kimon P. Valavanis, Electrical & Computer Engineering, University of Denver, Denver, CO, USA Editorial Board Luis Mejias Alvarez, Queensland University of Technology, Brisbane, Australia Panos Antsaklis, University of Notre Dame, Notre Dame, IN, USA Randal Beard, Brigham Young University, Provo, USA David Casbeer, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, USA Ben Mei Chen, Chinese University of Hong Kong, Sha tin, China Mario Sarcinelli-Filho, Federal University of Espirito Santo, Vitoria, Espírito Santo, Brazil Marios M. Polycarpou, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus Didier Theilliol, University of Lorraine, Vandoeuvre-les-Nancy, France Antonios Tsourdos, Cranfield University, Cranfield, Bedfordshire, UK Youmin Zhang, Concordia University, Montreal, QC, Canada
The Springer Tracts in Autonomous Systems (STRAUS) publish the state-of-the-art and advances in unmanned systems exhibiting attributes of autonomy, intelligence, autonomous functionality and resilience. The objective is to provide the foundations of the overall cycle from design and modeling of unmanned systems, to control and implementation exhibiting autonomy and self-organization amidst extreme disturbances, also functioning in uncertain and dynamic environments. The STRAUS series is the first of its kind in that it provides ‘metrics’ to evaluate autonomy and autonomous functionality and resilience, directly applicable to real complex engineering systems. Books to be published are suitable for the scientist and engineer, practitioner and end-user. They are also suitable for graduate students and researchers who wish to conduct research in the topical areas covered by the series. Within the scope of the series are monographs, lecture notes, selected contributions from specialized conferences and workshops, as well as selected PhD theses.
More information about this series at http://www.springer.com/series/16447
Yufeng Yue Danwei Wang •
Collaborative Perception, Localization and Mapping for Autonomous Systems
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Yufeng Yue School of Automation Beijing Institute of Technology Beijing, China
Danwei Wang School of Electrical and Electronic Engineering Nanyang Technological University Singapore, Singapore
ISSN 2662-5539 ISSN 2662-5547 (electronic) Springer Tracts in Autonomous Systems ISBN 978-981-15-8859-4 ISBN 978-981-15-8860-0 (eBook) https://doi.org/10.1007/978-981-15-8860-0 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and t
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