Modification of DBSCAN and Application to Range/Doppler/DoA Measurements for Pedestrian Recognition with an Automotive Radar System

Activity: Talk or presentation › Contributed talk › unknown

Description

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.
Period11 Sept 2015
Event titleEuropean Microwave Week 2015
Event typeConference
LocationFranceShow on map

Fields of science

  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202033 Radar technology
  • 202019 High frequency engineering
  • 202029 Microwave engineering

JKU Focus areas

  • Mechatronics and Information Processing

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