17 citations · 22 across the 3 of their papers we have counts for
6 papers
Inertial Navigation Using an Inertial Sensor Array
Håkan Carlsson, Isaac Skog, Gustaf Hendeby +1
We present a comprehensive framework for fusing measurements from multiple and generally placed accelerometers and gyroscopes to perform inertial navigation. Using the angular acce…
Online Joint State Inference and Learning of Partially Unknown State-Space Models
Anton Kullberg, Isaac Skog, Gustaf Hendeby
A computationally efficient method for online joint state inference and dynamical model learning is presented. The dynamical model combines an a priori known, physically derived, s…
Fifteen Years of Progress at Zero Velocity: A Review
Johan Wahlström, Isaac Skog
Fifteen years have passed since the publication of Foxlin's seminal paper "Pedestrian tracking with shoe-mounted inertial sensors". In addition to popularizing the zero-velocity up…
Learning Driver Behaviors Using A Gaussian Process Augmented State-Space Model
Anton Kullberg, Isaac Skog, Gustaf Hendeby
An inference method for Gaussian process augmented state-space models are presented. This class of grey-box models enables domain knowledge to be incorporated in the inference proc…
Zero-Velocity Detection - A Bayesian Approach to Adaptive Thresholding
Johan Wahlström, Isaac Skog, Fredrik Gustafsson +2
A Bayesian zero-velocity detector for foot-mounted inertial navigation systems is presented. The detector extends existing zero-velocity detectors based on the likelihood-ratio tes…
Bayesian Estimation with Distance Bounds
Dave Zachariah, Isaac Skog, Magnus Jansson +1
We consider the problem of estimating a random state vector when there is information about the maximum distances between its subvectors. The estimation problem is posed in a Bayes…