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VAPAR: Visual Attention Prediction for Autonomous drone Racing
Date created: 2021-09-09 08:42 PM | Last Updated: 2022-03-17 04:07 PM
Identifier: DOI 10.17605/OSF.IO/UABX4
Category: Project
VAPAR is a flight trajectory and RGB camera dataset in autonomous drone racing scenarios.
If you use the code or data in an academic context, please cite the following work:
APA:
Pfeiffer C, Wengeler S, Loquercio A, Scaramuzza D (2022) Visual attention prediction improves performance of autonomous drone racing agents. PLOS ONE 17(3): e0264471. https://doi.org/10.1371/journal.pone.0264471
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