An RFS theoretic for Bayesian feature-based robotic mapping

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An RFS theoretic for Bayesian feature-based robotic mapping

Estimating a FB map requires the joint propagation of the FB map density encapsulating uncertainty in feature number and location. This chapter addresses the joint propagation of the FB map density and leads to an optimal map estimate in the presence of unknown map size, spurious measurements, featu...

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Bibliographic Details
Main Authors:	Mullane, J., Vo, Ba-Ngu, Adams, M., Vo, B.
Format:	Book Chapter
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/60053

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