Title:Modification of DBSCAN and application to range/Doppler/DoA measurements for pedestrian recognition with an automotive radar systemAuthor(s):Thomas Wagner, Reinhard Feger, Andreas StelzerAbstract:We present in this paper modifications of the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm in order to detect pedestrians with a conventional automotive 77-GHz frequency modulated radar system. These modification include dimension scaling as preprocessing and a generalization of the ??-neighborhood notation by introducing a size parameter to constitute the new Ellipsoid DBSCAN (EDBSCAN) algorithm. With these modifications we could successfully cluster real-world measurement data in order to get reasonable cluster representations of pedestrians in a cluttered environment.Booktitle:Radar Conference (EuRAD), 2015 EuropeanPage Reference:page 269-272, 4 page(s)Publishing:9/2015