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Interesting areas in radar gridmaps for vehicle self-localization

This paper compares three methods for extraction of interesting areas from radar gridmaps. Such interesting areas are useful for vehicle self-localization. The regarded methods are based on DBSCAN, MSER and Connected Components. Experimental data is collected from six test drives along the same route. The Connected Components algorithm performs best on this data with regard to the quality aspects: robustness, completeness, and computational cost.