Large Scale Graph-based SLAM using Aerial Images as Prior Information

This video shows a novel SLAM approach that achieves global consistency by utilizing publicly accessible aerial photographs as prior information. It inserts correspondences found between stereo and three-dimensional range data and the aerial images as constraints into a graph-based formulation of the SLAM problem. The acquired maps show increased global consistency.

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Science & Technology