By Topic

V-SLAM: Vision-based simultaneous localization and map building for an autonomous mobile robot

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Savaria, D.T. ; Univ. of Massachusetts Dartmouth, Dartmouth, MA, USA ; Balasubramanian, R.

Simultaneous localization and map building (SLAM) is a desired feature for autonomous mobile robots. This SLAM approach allows the robot to create a map on the fly and then backtrack to further explore the area without human interaction. Data from the robot's encoder and sonar sensors are used along with depth information from a stereo camera vision system to explore and map the surroundings. The Speeded Up Robust Features algorithm (SURF) is used to visually identify landmarks in the environment.

Published in:

Multisensor Fusion and Integration for Intelligent Systems (MFI), 2010 IEEE Conference on

Date of Conference:

5-7 Sept. 2010