Replication Data for: Robust vision-based estimation of time-varying structural parameters using Kalman filtering

Data contained in the article: 'Robust vision-based estimation of time-varying structural parameters using Kalman filtering'. The datasets include: - position data for a slider-crank system moving in two different dynamic settings, low speed (10 rad/s) and high speed (60 rad/s). These measurements are obtained by vision data captured with a stereo camera setup. - estimation results obtained by applying Kalman filtering to the experimental data. - simulated data used in virtual estimation experiments on rigid Multibody systems, and the related Kalman filtered results. Data is contained in .7z archives which contain the .csv files with the data used in the figures of the paper.

Jaar van publicatie:2024

Toegankelijkheid:open

Uitgever:KU Leuven RDR

Licentie:CC-BY-4.0

Formaat:.7z, .csv

Trefwoorden: Kalman filter, State estimation, Virtual sensing