3D robotic mapping : the simultaneous localization and mapping problem with six degrees of freedom

Author(s)

    • Nüchter, Andreas

Bibliographic Information

3D robotic mapping : the simultaneous localization and mapping problem with six degrees of freedom

Andreas Nüchter

(Springer tracts in advanced robotics, v. 52)

Springer, c2009

  • : pbk

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Note

Bibliography: p. [193]-201

Softcover edition c2010

Description and Table of Contents

Description

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

Table of Contents

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.

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