TY - DATA
T1 - Code and data for the article "Accommodating unobservability to control flight attitude with optic flow"
PY - 2022/10/17
AU - Guido de Croon
AU - Julien Dupeyroux
AU - Christophe de Wagter
AU - Abhishek Chatterjee
AU - Diana A. Olejnik
AU - Franck RUFFIER
UR - https://data.4tu.nl/articles/dataset/Code_and_data_for_the_article_Accommodating_unobservability_to_control_flight_attitude_with_optic_flow_/20183399/1
DO - 10.4121/20183399.v1
KW - Attitude
KW - Estimation
KW - Optic flow
KW - Motion model
KW - Observability
KW - Flight
KW - Drone
KW - UAV
KW - MAV
KW - Insect
N2 - <p>This dataset contains the MATLAB code and experimental data for reproducing the observability analysis, simulation experiments, and plotting of robotic results for the article: </p>
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<p><strong>“Accommodating unobservability to control flight attitude with optic flow”</strong>, by G.C.H.E. de Croon, J.J.G. Dupeyroux, C. De Wagter, A. Chatterjee, D.A. Olejnik, F. Ruffier.</p>
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<p>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.</p>
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<p>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.</p>
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<p>The dataset contains a README document that further explains how to reproduce the results with the MATLAB code.</p>
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