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RFS Collaborative Multivehicle SLAM: SLAM in Dynamic High-Clutter Environments

contributor authorMoratuwage, Diluka
contributor authorDanwei Wang
contributor authorRao, Akhila
contributor authorSenarathne, Namal
contributor authorHan Wang
date accessioned2020-03-13T00:02:58Z
date available2020-03-13T00:02:58Z
date issued2014
identifier issn1070-9932
identifier other6814301.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1132543?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRFS Collaborative Multivehicle SLAM: SLAM in Dynamic High-Clutter Environments
typeJournal Paper
contenttypeMetadata Only
identifier padid8313544
subject keywordsSLAM (robots)
subject keywordsestimation theory
subject keywordsparticle filtering (numerical methods)
subject keywordsprobability
subject keywordssensor fusion
subject keywordsset theory
subject keywordsCMSLAM problem
subject keywordsPHD filter-based landmark map posterior estimation
subject keywordsRFS SLAM filter framework
subject keywordsRFS collaborative multivehicle SLAM
subject keywordsRao-Blackwellized particle filter-based vehicle trajectories posterior estimation
subject keywordscollaborative multivehicle simultaneous localization and mapping problem
subject keywordsdynamic high-clutter environment
subject keywordsfinite set statistics
subject keywordshigh-clutter environmental condition
subject keywordsmu
identifier doi10.1109/MRA.2014.2312841
journal titleRobotics & Automation Magazine, IEEE
journal volume21
journal issue2
filesize2797824
citations0


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