Sadeghi-Tehran, Pouria and Behera, Sashmita and Angelov, Plamen and Andreu, Javier (2012) Autonomous visual self-localization in completely unknown environment. In: Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, pp. 90-95. ISBN 978-1-4673-1728-3
Full text not available from this repository.Abstract
In this paper, a novel approach to visual self-localization in an unknown environment is presented. The proposed method makes possible the recognition of new landmark without using GPS or any other communication links or pre-training. An image-based self-localization technique is used to automatically label landmarks that are detected in real-time using a computationally efficient and recursive algorithm. Real-time experiments are carried in outdoor environment at Lancaster University using a real mobile robot Pioneer 3DX in order to build a map the local environment without using any communication links. The presented experimental results in real situations show the effectiveness of the proposed method.
| Item Type: | Contribution in Book/Report/Proceedings |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | Faculty of Science and Technology > School of Computing & Communications |
| ID Code: | 56257 |
| Deposited By: | ep_importer_pure |
| Deposited On: | 20 Jul 2012 15:06 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 23:45 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/56257 |
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