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