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: 3827
published: Jan. 19, 2010, recorded: December 2009, views: 3827
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
See Also:
Download slides:
nipsworkshops09_ocallaghan_baom_01.pdf (2.7 MB)
Download slides:
nipsworkshops09_ocallaghan_baom_01.ppt (8.9 MB)
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: