activity
20162024
most citedFusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

2 citations · 3 across the 6 of their papers we have counts for

collaborators

5 papers

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.SP20232 cited

Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks

Magnus Malmström, Isaac Skog, Daniel Axehill +1

This paper considers the problem of sequential fusion of predictions from neural networks (NN) and fusion of predictions from multiple NN. This fusion strategy increases the robust…

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…

cs.CY20161 cited

Smartphone-based Vehicle Telematics - A Ten-Year Anniversary

Johan Wahlström, Isaac Skog, Peter Händel

Just like it has irrevocably reshaped social life, the fast growth of smartphone ownership is now beginning to revolutionize the driving experience and change how we think about au…