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3D Robotic Mapping

The Simultaneous Localization and Mapping Problem with Six Degrees of Freedom

  • Book
  • © 2009

Overview

  • 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: sn.pub/extras

Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 52)

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Table of contents (8 chapters)

Keywords

About this book

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

Reviews

From the reviews:

“The book 3D Robotic Mapping by Andreas Nüchter represents an excellent reference for any roboticist working in the area of Simultaneous Localization and Mapping, especially those interested in 3D map building. … The book’s intended target audience is large, ranging from undergraduate students to postdoctoral researchers keen on learning or working on this topic. … I strongly recommend this book as a good introduction and reference material for 3D perception and mapping with mobile robots.”­­­ (Radu Bogdan Rusu, Künstliche Intelligenz, Vol. 24, June, 2010)

Authors and Affiliations

  • Jacobs University Bremen, Germany

    Andreas Nüchter

Bibliographic Information

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