@misc{Skrzypczyński_Piotr_Simultaneous,
 author={Skrzypczyński, Piotr},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={This article provides an introduction to Simultaneous Localization And Mapping (SLAM), with the focus on probabilistic SLAM utilizing a feature-based description of the environment. A probabilistic formulation of the SLAM problem is introduced, and a solution based on the Extended Kalman Filter (EKF-SLAM) is shown. Important issues of convergence, consistency, observability, data association and scaling in EKF-SLAM are discussed from both theoretical and practical points of view. Major extensions to the basic EKF-SLAM method and some recent advances in SLAM are also presented.},
 type={artykuł},
 title={Simultaneous localization and mapping: A feature-based probabilistic approach},
 keywords={mobile robots, navigation, simultaneous localization and mapping, feature matching},
}