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- EKF_SLAM abstract "In robotics, EKF SLAM is a class of algorithms which utilizes the extended Kalman filter (EKF) for simultaneous localization and mapping (SLAM). Typically, EKF SLAM algorithms are feature based, and use the maximum likelihood algorithm for data association. For the past decade, the EKF SLAM has been the de facto method for SLAM, until the introduction of FastSLAM.Associated with the EKF is the gaussian noise assumption, which significantly impairs EKF SLAM's ability to deal with uncertainty. With greater amount of uncertainty in the posterior, the linearization in the EKF fails.".
- EKF_SLAM wikiPageID "18436353".
- EKF_SLAM wikiPageLength "1356".
- EKF_SLAM wikiPageOutDegree "5".
- EKF_SLAM wikiPageRevisionID "662926145".
- EKF_SLAM wikiPageWikiLink Category:Robot_control.
- EKF_SLAM wikiPageWikiLink Extended_Kalman_filter.
- EKF_SLAM wikiPageWikiLink FastSLAM.
- EKF_SLAM wikiPageWikiLink Robotics.
- EKF_SLAM wikiPageWikiLink Simultaneous_localization_and_mapping.
- EKF_SLAM wikiPageWikiLinkText "EKF SLAM".
- EKF_SLAM hasPhotoCollection EKF_SLAM.
- EKF_SLAM wikiPageUsesTemplate Template:Reflist.
- EKF_SLAM subject Category:Robot_control.
- EKF_SLAM hypernym Algorithms.
- EKF_SLAM comment "In robotics, EKF SLAM is a class of algorithms which utilizes the extended Kalman filter (EKF) for simultaneous localization and mapping (SLAM). Typically, EKF SLAM algorithms are feature based, and use the maximum likelihood algorithm for data association. For the past decade, the EKF SLAM has been the de facto method for SLAM, until the introduction of FastSLAM.Associated with the EKF is the gaussian noise assumption, which significantly impairs EKF SLAM's ability to deal with uncertainty.".
- EKF_SLAM label "EKF SLAM".
- EKF_SLAM sameAs m.04f4788.
- EKF_SLAM sameAs Q5323242.
- EKF_SLAM sameAs Q5323242.
- EKF_SLAM wasDerivedFrom EKF_SLAM?oldid=662926145.
- EKF_SLAM isPrimaryTopicOf EKF_SLAM.