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Photo maps, i.e., 2D grids that provide a large scale bird’s eye view of the environment, are of interest for many application scenarios but especially for safety and security missions. We present a very efficient and robust algorithm for this task, which only uses registration between consecutive images, i.e., it does not require any localization. The algorithm is benchmarked in USARsim, where the video stream of a down-looking camera of an aerial vehicle, namely a blimb, is used to generate a large scale photo map.

Creating Photo Maps with an Aerial Vehicle in USARsim