17 citations · 23 across the 4 of their papers we have counts for
6 papers · 1 filter
Tightly Integrated Motion Classification and State Estimation in Foot-Mounted Navigation Systems
Isaac Skog, Gustaf Hendeby, Manon Kok
A framework for tightly integrated motion mode classification and state estimation in motion-constrained inertial navigation systems is presented. The framework uses a jump Markov…
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…
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…
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…