Abstract:
We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the c...Show MoreMetadata
Abstract:
We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination of simple reflectors and a single-channel frequency modulated continuous wave (FMCW) radar, high positioning accuracy at low system cost can be achieved. Further, a multi-objective (MO) particle swarm optimization (PSO) algorithm is presented that optimizes the 2D placement of radar reflectors in complex room settings.
Date of Conference: 25-28 September 2023
Date Added to IEEE Xplore: 06 December 2023
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Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany
Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany
Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
Contents Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany
Munich Research Center, Huawei Technologies Duesseldorf GmbH, Munich, Germany
Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany
