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

著者

    • Nüchter, Andreas

書誌事項

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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注記

Bibliography: p. [193]-201

Softcover edition c2010

内容説明・目次

内容説明

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

目次

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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