Memory consumption of visual SLAM systems grows rapidly with their operation ranges increase. A well-designed organization scheme of map data is important for the scalability of visual SLAM in large-scale environments. In this paper, we present a novel visual SLAM system with an efficient memory management method to manage the map data using a spatial database. Experimental results on two popular public datasets demonstrate the efficiency and accuracy of our system.
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