File:Drone racing – AI piloted drone vs human champions.webp
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Captions
Captions
From the study "Champion-level drone racing using deep reinforcement learning"
Summary
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| Description |
English: "a, Swift (blue) races head-to-head against Alex Vanover, the 2019 Drone Racing League world champion (red). The track comprises seven square gates that must be passed in order in each lap. To win a race, a competitor has to complete three consecutive laps before its opponent. b, A close-up view of Swift, illuminated with blue LEDs, and a human-piloted drone, illuminated with red LEDs. The autonomous drones used in this work rely only on onboard sensory measurements, with no support from external infrastructure, such as motion-capture systems. c, From left to right: Thomas Bitmatta, Marvin Schaepper and Alex Vanover racing their drones through the track. Each pilot wears a headset that shows a video stream transmitted in real time from a camera aboard their aircraft. The headsets provide an immersive ‘first-person-view’ experience. c, Photo by Regina Sablotny." |
| 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 |
Licensing
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:05, 15 October 2023 | | 1,417 × 1,222 (203 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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