Year: 2010
Type: article
Abstract: To be able to operate and act successfully, the robot needs to know at any time where it is. This means the robot has to find out its location relative to the environment. This contribution introduces the increase of accuracy of mobile robot positioning in large outdoor environments based on data fusion from different sensors: camera, GPS, inertial navigation system (INS), and wheel encoders. The fusion is done in a Simultaneous Localization and Mapping (SLAM) approach.
Authors: Sid Ahmed BERRABAH, Yvan BAUDOIN, Hichem SAHLI
Institutions: Royal Military Academy, Vrije Universiteit Brussel
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2231910142