activity
20202024
most citedOnline Joint State Inference and Learning of Partially Unknown State-Space Models

28 citations · 32 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023

Extended target tracking utilizing machine-learning software -- with applications to animal classification

Magnus Malmström, Anton Kullberg, Isaac Skog +2

This paper considers the problem of detecting and tracking objects in a sequence of images. The problem is formulated in a filtering framework, using the output of object-detection…

eess.SP2023

Unified Linearization-based Nonlinear Filtering

Anton Kullberg, Isaac Skog, Gustaf Hendeby

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 iterat…

eess.SP2023

On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods

Anton Kullberg, Martin A. Skoglund, Isaac Skog +1

This letter investigates relationships between iterated filtering algorithms based on statistical linearization, such as the iterated unscented Kalman filter (IUKF), and filtering…

eess.SY2023

Fast or Cheap: Time and Energy Optimal Control of Ship-to-Shore Cranes

Filipe Marques Barbosa, Anton Kullberg, Johan Löfberg

This paper addresses the trade-off between time- and energy-efficiency for the problem of loading and unloading a ship. Container height constraints and energy consumption and rege…

eess.SP2023★ 2 cited

Iterated Filters for Nonlinear Transition Models

Anton Kullberg, Isaac Skog, Gustaf Hendeby

A new class of iterated linearization-based nonlinear filters, dubbed dynamically iterated filters, is presented. Contrary to regular iterated filters such as the iterated extended…