3D robotic mapping : the simultaneous localization and mapping problem with six degrees of freedom
Author(s)
Bibliographic Information
3D robotic mapping : the simultaneous localization and mapping problem with six degrees of freedom
(Springer tracts in advanced robotics, v. 52)
Springer, c2009
- : pbk
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
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  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
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  United Kingdom
  Germany
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  France
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  United States of America
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.
by "Nielsen BookData"