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20192025
most citedRoad Roughness Estimation via Fusion of Standard Onboard Automotive Sensors

4 citations · 4 across the 3 of their papers we have counts for

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eess.SP20254 cited

Road Roughness Estimation via Fusion of Standard Onboard Automotive Sensors

Martin Agebjär, Gustav Zetterqvist, Fredrik Gustafsson +2

Road roughness significantly affects vehicle vibrations and ride quality. We introduce a Kalman filter (KF)-based method for estimating road roughness in terms of the international…

eess.SP2020

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…

eess.SP2019

FootSLAM meets Adaptive Thresholding

Johan Wahlstrom, Andrew Markham, Niki Trigoni

Calibration of the zero-velocity detection threshold is an essential prerequisite for zero-velocity-aided inertial navigation. However, the literature is lacking a self-contained c…

eess.SP2019

Sensor Fusion for Magneto-Inductive Navigation

Johan Wahlström, Manon Kok, Pedro Porto Buarque de Gusmao +3

Magneto-inductive navigation is an inexpensive and easily deployable solution to many of today's navigation problems. By utilizing very low frequency magnetic fields, magneto-induc…

eess.SP2019

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…