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Found 6 papers, 0 papers with code
Extended target tracking utilizing machine-learning software -- with applications to animal classification
This paper considers the problem of detecting and tracking objects in a sequence of images.
On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods
This letter investigates relationships between iterated filtering algorithms based on statistical linearization, such as the iterated unscented Kalman filter (IUKF), and filtering algorithms based on quasi-Newton (QN) methods, such as the QN iterated extended Kalman filter (QN-IEKF).
Unified Linearization-based Nonlinear Filtering
This letter shows that the following three classes of recursive state estimation filters: standard filters, such as the extended Kalman filter; iterated filters, such as the iterated unscented Kalman filter; and dynamically iterated filters, such as the dynamically iterated posterior linearization filters; can be unified in terms of a general algorithm.
Fast or Cheap: Time and Energy Optimal Control of Ship-to-Shore Cranes
This paper addresses the trade-off between time- and energy-efficiency for the problem of loading and unloading a ship.
Iterated Filters for Nonlinear Transition Models
A new class of iterated linearization-based nonlinear filters, dubbed dynamically iterated filters, is presented.
Online Joint State Inference and Learning of Partially Unknown State-Space Models
The method uses an extended Kalman filter approach to jointly estimate the state of the system and learn the unknown system dynamics, via the parameters of the basis function expansion.
