@inproceedings{bdac1441bdb44a2e8d5077694b3e0a86,
title = "Mobile robot localization using panoramic vision and combinations of feature region detectors",
abstract = "This paper presents a vision-based approach for mobile robot localization. The environmental model is topological. The new approach uses a constellation of different types of affine covariant regions to characterize a place. This type of representation permits a reliable and distinctive environment modeling. The performance of the proposed approach is evaluated using a database of panoramic images from different rooms. Additionally, we compare different combinations of complementary feature region detectors to find the one that achieves the best results. Our experimental results show promising results for this new localization method. Additionally, similarly to what happens with single detectors, different combinations exhibit different strengths and weaknesses depending on the situation, suggesting that a context-aware method to combine the different detectors would improve the localization results.",
keywords = "Affine regions detectors, GLOH, Harris affine, Hessian affine, MSER, SIFT, Topological localization",
author = "Arnau Ramisa and Adriana Tapus and \{L{\'o}pez De M{\'a}ntaras\}, Ram{\'o}n and Ricardo Toledo",
year = "2008",
month = sep,
day = "18",
doi = "10.1109/ROBOT.2008.4543262",
language = "English",
isbn = "9781424416479",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
pages = "538--543",
booktitle = "2008 IEEE International Conference on Robotics and Automation, ICRA 2008",
note = "2008 IEEE International Conference on Robotics and Automation, ICRA 2008 ; Conference date: 19-05-2008 Through 23-05-2008",
}