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Autonomous visual self-localization in completely unknown environment

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Autonomous visual self-localization in completely unknown environment. / Sadeghi-Tehran, Pouria; Behera, Sashmita; Angelov, Plamen; Andreu, Javier.

Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, 2012. p. 90-95.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Sadeghi-Tehran, P, Behera, S, Angelov, P & Andreu, J 2012, Autonomous visual self-localization in completely unknown environment. in Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, pp. 90-95. https://doi.org/10.1109/EAIS.2012.6232811

APA

Sadeghi-Tehran, P., Behera, S., Angelov, P., & Andreu, J. (2012). Autonomous visual self-localization in completely unknown environment. In Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on (pp. 90-95). IEEE. https://doi.org/10.1109/EAIS.2012.6232811

Vancouver

Sadeghi-Tehran P, Behera S, Angelov P, Andreu J. Autonomous visual self-localization in completely unknown environment. In Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE. 2012. p. 90-95 https://doi.org/10.1109/EAIS.2012.6232811

Author

Sadeghi-Tehran, Pouria ; Behera, Sashmita ; Angelov, Plamen ; Andreu, Javier. / Autonomous visual self-localization in completely unknown environment. Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, 2012. pp. 90-95

Bibtex

@inproceedings{4779a1aa021f4b97b54880c980728442,
title = "Autonomous visual self-localization in completely unknown environment",
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.",
author = "Pouria Sadeghi-Tehran and Sashmita Behera and Plamen Angelov and Javier Andreu",
year = "2012",
month = may,
doi = "10.1109/EAIS.2012.6232811",
language = "English",
isbn = "978-1-4673-1728-3",
pages = "90--95",
booktitle = "Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Autonomous visual self-localization in completely unknown environment

AU - Sadeghi-Tehran, Pouria

AU - Behera, Sashmita

AU - Angelov, Plamen

AU - Andreu, Javier

PY - 2012/5

Y1 - 2012/5

N2 - 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.

AB - 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.

U2 - 10.1109/EAIS.2012.6232811

DO - 10.1109/EAIS.2012.6232811

M3 - Conference contribution/Paper

SN - 978-1-4673-1728-3

SP - 90

EP - 95

BT - Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on

PB - IEEE

ER -