Code and data for the article "Accommodating unobservability to control flight attitude with optic flow"

This dataset contains the MATLAB code and experimental data for reproducing the observability analysis, simulation experiments, and plotting of robotic results for the article: “Accommodating unobservability to control flight attitude with optic flow”, by G.C.H.E. de Croon, J.J.G. Dupeyroux, C. De Wagter, A. Chatterjee, D.A. Olejnik, F. Ruffier. The dataset contains the logged flight data from quadrotor experiments (with a Parrot Bebop 2) and flapping wing robot experiments (with a Flapper Drone), as performed for the paper mentioned above. Moreover, it contains the post-processed data (positions, pitch attitudes, as extracted with computer vision scripts from the images captured in the experimental setup) from the honeybee experiments performed in the article: Portelli, G., Ruffier, F., Roubieu, F. L., & Franceschini, N. (2011). Honeybees' speed depends on dorsal as well as lateral, ventral and frontal optic flows. PloS one, 6(5), e19486. This data has been re-analyzed in the light of the proposed new theory on estimating attitude with the help of optic flow. The dataset contains a README document that further explains how to reproduce the results with the MATLAB code.