Product Type
Condition
Binding
Collectible Attributes
Seller Location
Seller Rating
Published by Now Publishers, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United Kingdom
Book
Condition: Very Good. Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, content unread as new.
Published by Now Publishers, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Now Publishers Inc 2015-06, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: Chiron Media, Wallingford, United Kingdom
Book
PF. Condition: New.
Published by now publishers Inc, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Book Print on Demand
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Published by Now Publishers, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: ALLBOOKS1, Salisbury Plain, SA, Australia
Book
Published by Now Publishers Inc, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: moluna, Greven, Germany
Book Print on Demand
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis monograph addresses the problem of geometric registration and the classical Iterative Closest Point (ICP) algorithm. Though commonly used in several research fields, the focus here is on mobile robotics in which point clouds .
Published by Now Publishers Inc, 2015
ISBN 10: 1680830244ISBN 13: 9781680830248
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book Print on Demand
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph addresses the problem of geometric registration and the classical Iterative Closest Point (ICP) algorithm. Though commonly used in several research fields, the focus here is on mobile robotics in which point clouds need to be registered. Even with this narrowed focus, the problem is still complex and multiple-faceted. A lot has been published on the topic, and, up until now, it has lacked a general comparison methodology. This is understandable given the diversity of applications, characteristics of the sensors, motion capabilities of the robotic platform and characteristics of the environments, but it hinders the selection process of an appropriate instance of the algorithm. This review tackles this challenge by three means: (1) a wide literature review with a historical perspective, (2) the elaboration of a theoretical descriptive framework of geometric registration grounded in the literature review, and (3) the analysis of practical use cases covering a wide diversity of mobile robotics applications. The end result provides the reader with a set of guidelines for the choice of geometric registration configuration.