Robust cooperative localization in a dynamic environment using factor graphs and probability data association filter

Titel:: Robust cooperative localization in a dynamic environment using factor graphs and probability data association filter
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Gulati, Dhiraj; Zhang, Feihu; Malovetz, Daniel; Clarke, Daniel; Knoll, A.
Stichworte:: filtering theory; graph theory; radar; radionavigation; sensor fusion; state estimation; RADAR; factor graph; probability data association filter; state estimates; vehicular systems cooperative localization; Clutter; Global Positioning System; Noise measurement; Position measurement; Radar; Time measurement; Topology
Kongress- / Buchtitel:: 2017 20th International Conference on Information Fusion (Fusion)
Jahr:: 2017
Jahr / Monat:: 2017-07
Seiten:: 1-6
Volltext / DOI:: doi:10.23919/ICIF.2017.8009654
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