Modification of DBSCAN and Application to Range/Doppler/DoA Measurements for Pedestrian Recognition with an Automotive Radar System
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
European Microwave Week 2015
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
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.
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