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Environment Learning for Indoor Mobile Robots

- A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (2006)

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Format
Bog, hardback
Engelsk

Indgår i serie
Springer Tracts in Advanced Robotics Hardcover

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Beskrivelse

This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots. These include estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM.

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Detaljer

SprogEngelsk
Sidetal136
Udgivelsesdato22-05-2006
ISBN139783540327950
Forlag Springer-verlag Berlin And Heidelberg Gmbh & Co. Kg
Nummer i serien23
FormatHardback

Størrelse og vægt

Vægt401 g

Dybde1,3 cm

10 cm

15,5 cm

23,5 cm

Environment Learning for Indoor Mobile Robots

- A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (2006)

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