Concurrent map building and localization on indoor dynamic environments
A system that builds and maintains a dynamic map for a mobile robot is presented. A learning rule associated to each observed landmark is used to compute its robustness. The position of the robot during map construction is estimated by combining sensor readings, motion commands, and the current map state by means of an Extended Kalman Filter. The combination of landmark strength validation and Kalman filtering for map updating and robot position estimation allows for robust learning of moderately dynamic indoor environments. Keywords: Mobile robot map learning, mobile robot navigation, CML,
Oh la la
Your session has expired but don’t worry, your message
has been saved.Please log in and we’ll bring you back
to this page. You’ll just need to click “Send”.
Your evaluation is of great value to our authors and readers. Many thanks for your time.
Review 
When you're done, click "publish"
Only blue fields are mandatory.
Your mailing list is currently empty.
It will build up as you send messages
and links to your peers.
No one besides you has access to this list.
Enter the e-mail addresses of your recipients in the box below.
Note: Peer Evaluation will NOT store these email addresses log in
Your message has been sent.
Description
New Full text for this article was not available?
Send a request to the author(s).
Title : Concurrent map building and localization on indoor dynamic environments
Abstract : A system that builds and maintains a dynamic map for a mobile robot is presented. A learning rule associated to each observed landmark is used to compute its robustness. The position of the robot during map construction is estimated by combining sensor readings, motion commands, and the current map state by means of an Extended Kalman Filter. The combination of landmark strength validation and Kalman filtering for map updating and robot position estimation allows for robust learning of moderately dynamic indoor environments. Keywords: Mobile robot map learning, mobile robot navigation, CML,
Subject : unspecified
Area : Computer Science
Language : English
Url : http://www-iri.upc.es/groups/lrobots/publications/andrade_ijprai
Doi : 10.1.1.102.4460
Leave a comment
This contribution has not been reviewed yet. review?