File:Residual models (AI drone racing).webp
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From the study "Champion-level drone racing using deep reinforcement learning"
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| Description |
English: "a, Visualization of the residual observation model and the residual dynamics model identified from real-world data. Black curves depict the residual observed in the real world and coloured lines show 100 sampled realizations of the residual observation model. Each plot depicts an entire race, that is, three laps. b, Predicted residual observation for a simulated rollout. Blue, ground-truth position provided by the simulator; orange, perturbed position generated by the Gaussian process residual." |
| Date | |
| Source | https://www.nature.com/articles/s41586-023-06419-4 |
| Author | Authors of the study: Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun & Davide Scaramuzza |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:05, 15 October 2023 | | 2,126 × 2,253 (373 KB) | Prototyperspective (talk | contribs) | Uploaded a work by Authors of the study: Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun & Davide Scaramuzza from https://www.nature.com/articles/s41586-023-06419-4 with UploadWizard |
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