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The Two-State Implicit Filter Recursive Estimation for Mobile Robots
2018
IEEE Robotics and Automation Letters
This paper deals with recursive filtering for dynamic systems where an explicit process model is not easily devisable. Most Bayesian filters assume the availability of such an explicit process model and thus may require additional assumptions or fail to properly leverage all available information. In contrast, we propose a filter which employs a purely residual based modeling of the available information and thus achieves higher modeling flexibility. While this work is related to the descriptor
doi:10.1109/lra.2017.2776340
dblp:journals/ral/BloeschBSSH18
fatcat:p7olrefqxjdr7i4pt62qdzfb7u