3D Robotic Mapping

The Simultaneous Localization and Mapping Problem with Six Degrees of Freedom

  • Andreas Nüchter

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

Table of contents

  1. Front Matter
  2. Andreas Nüchter
    Pages 1-8
  3. Andreas Nüchter
    Pages 9-28
  4. Andreas Nüchter
    Pages 29-34
  5. Andreas Nüchter
    Pages 35-76
  6. Andreas Nüchter
    Pages 77-108
  7. Andreas Nüchter
    Pages 109-154
  8. Andreas Nüchter
    Pages 155-172
  9. Andreas Nüchter
    Pages 173-176
  10. Back Matter

About this book


The monograph written by Andreas Nüchter is focused 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.


3D Laser Scanning Robot Vision Robotic Cameras Scan Registration Simultaneous Localization and Mapping (SLAM) mobile robot robot semantics

Authors and affiliations

  • Andreas Nüchter
    • 1
  1. 1.Jacobs University BremenGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-89883-2
  • Online ISBN 978-3-540-89884-9
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site