Description
This repository contains all data and code necessary to reproduce the experiments and figures in the article: "Enhancing optical flow-based control by learning visual appearance cues for flying robots". It allows to reproduce both the experiments in simulation and the real-world experiments with the Parrot Bebop 2 drone. Please see the README in the repository for a detailed explanation. Please note that the Paparazzi code included in this data set is subject to a GNU left license. See https://github.com/paparazzi/paparazzi/blob/master/LICENSE for more details.
| Date made available | 19 Jan 2021 |
|---|---|
| Publisher | DataverseNL - 4TU.Centre for Research Data |
Research output
- 1 Article
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Enhancing optical-flow-based control by learning visual appearance cues for flying robots
de Croon, G. C. H. E., de Wagter, C. & Seidl, T., 2021, In: Nature Machine Intelligence. 3, 1, p. 33-41 9 p.Research output: Contribution to journal › Article › Scientific › peer-review
47 Link opens in a new tab Citations (SciVal)
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