A Bayesian Approach to Occupancy Mapping with Uncertain Inputs

author: Simon T. O'Callaghan, University of Sydney
published: Jan. 19, 2010,   recorded: December 2009,   views: 229
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Description

This work addresses the problem of occupancy mapping with uncertain measurements taken from one or more mobile robots. Appropriate modeling of sensor and localisation uncertainty is critical to obtaining consistent and robust maps which may subsequently be used in planning and motion control.

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Download slides icon Download slides: nipsworkshops09_ocallaghan_baom_01.pdf (2.7 MB)

Download slides icon Download slides: nipsworkshops09_ocallaghan_baom_01.ppt (8.9 MB)


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