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Englisch
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Beschreibung
Focuses on acquiring spatial models of physical environments through mobile robots
The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping).
3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle)
New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented
The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping).
3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle)
New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented
Focuses on acquiring spatial models of physical environments through mobile robots
The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping).
3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle)
New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented
The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping).
3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle)
New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented
Zusammenfassung
Complete treatment of 3 dimensional robotic mapping
Presents the Simultaneous Localization and Mapping Problem with Six Degrees of Freedom
Presents the algorithms needed for automatic semantic 3D map building using a 3D laser range finder and the mobile robot Kurt3D
Includes supplementary material: [...]
Inhaltsverzeichnis
Perceiving 3D Range Data.- State of the Art.- 3D Range Image Registration.- Globally Consistent Range Image Registration.- Experiments and Results.- 3D Maps with Semantics.- Conclusions and Outlook.
Details
Erscheinungsjahr: | 2009 |
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Fachbereich: | Fertigungstechnik |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xix
204 S. |
ISBN-13: | 9783540898832 |
ISBN-10: | 3540898832 |
Sprache: | Englisch |
Herstellernummer: | 12544646 |
Einband: | Gebunden |
Autor: | Nüchter, Andreas |
Hersteller: |
Springer Berlin
Springer Berlin Heidelberg |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 18 mm |
Von/Mit: | Andreas Nüchter |
Erscheinungsdatum: | 17.01.2009 |
Gewicht: | 0,512 kg |