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International Journal of Computer Vision
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Journal of Intelligent and Robotic Systems
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Quantitative Evaluation of Feature Extractors for Visual SLAM
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
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International Journal of Computer Vision
Grid-Based Visual SLAM in Complex Environments
Journal of Intelligent and Robotic Systems
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Journal of Intelligent and Robotic Systems
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Journal of Intelligent and Robotic Systems
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ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Journal of Intelligent and Robotic Systems
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International Journal of Automation and Computing
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The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments. Every issue of the whole process is discussed in order to obtain more accurate localization and mapping from UAVs flights. Firstly, the issues related to the visual features of objects in the scene, their distance to the UAV, and the related image acquisition system and their calibration are evaluated for improving the whole process. Other important, considered issues are related to the image processing techniques, such as interest point detection, the matching procedure and the scaling factor. The whole system has been tested using the COLIBRI mini UAV in partially structured environments. The results that have been obtained for localization, tested against the GPS information of the flights, show that Visual SLAM delivers reliable localization and mapping that makes it suitable for some outdoors applications when flying UAVs.