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Visual odometry approaches have demonstrated to work very well for localization in GPS-denied areas, however they could quickly diverge depending on the environment. In order to achieve reliable long-term localization, it is a good practice to complement vision-based estimations with an additional source of information able to correct odometry drifts. This paper presents an approach that complements...