TítuloMobile Robot Localization using Panoramic Vision and Combinations of Feature Region Detectors
Publication TypeConference Paper
Year of Publication2008
AuthorsRamisa A, Tapus A, de Mántaras RLópez, Toledo R
Conference NameIEEE International Conference on Robotics and Automation
EditorialIEEE Press
Conference LocationPasadena, California
ISBN Number978-1-4244-1646-2

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.