Spatial Representation and Reasoning for Robot Mapping: A Shape-Based Approach: Springer Tracts in Advanced Robotics, cartea 48
Autor Diedrich Wolteren Limba Engleză Paperback – 22 oct 2010
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Paperback (1) | 625.41 lei 43-57 zile | |
Springer Berlin, Heidelberg – 22 oct 2010 | 625.41 lei 43-57 zile | |
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Springer Berlin, Heidelberg – 23 iul 2008 | 629.29 lei 43-57 zile |
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Specificații
ISBN-13: 9783642088575
ISBN-10: 3642088570
Pagini: 208
Ilustrații: XIX, 188 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Tracts in Advanced Robotics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642088570
Pagini: 208
Ilustrații: XIX, 188 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.3 kg
Ediția:Softcover reprint of hardcover 1st ed. 2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Tracts in Advanced Robotics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Spatial Representations for Mapping.- A Functional Analysis of Robot Mapping.- Homomorphic Matching in Balanced Hypergraphs.- Shape-Based Incremental Mapping.- Evaluation.- Conclusion and Outlook.
Recenzii
From the reviews:
“This monograph, based on the author’s dissertation, is written for researchers interested in mobile robots.” (IEEE Control Systems Magazine, Vol. 30, June, 2010)
“This monograph, based on the author’s dissertation, is written for researchers interested in mobile robots.” (IEEE Control Systems Magazine, Vol. 30, June, 2010)
Textul de pe ultima copertă
This book addresses spatial representations and reasoning techniques for mobile robot mapping, providing an analysis of fundamental representations and processes involved. A spatial representation based on shape information is proposed and shape analysis techniques are developed to tackle the correspondence problem in robot mapping. A general mathematical formulation is presented to provide the formal ground for an efficient matching of configurations of objects.
Caracteristici
Investigates the SLAM problem from a more quantitative point of view, Provides a comprehensive understanding of the SLAM field Includes an extensive literature discussion Solves data association problems using shape features extracted from the raw data