A Novel Obstacle Detection and Avoidance Dataset for Drones-Reference-Cited by-同舟云学术

A Novel Obstacle Detection and Avoidance Dataset for Drones

Published:2022-01-17 Issue: Volume: Page:
ISSN:
Container-title:System Engineering for constrained embedded systems
language:
Short-container-title:

Author:

Dupeyroux Julien¹,DINAUX, RAOUL¹,WESSENDORP, NIKHIL²,De Croon Guido¹

Affiliation:

1. Delft University of Technology, Netherlands

2. Delft University of Technology, France

Funder

ECSEL Joint Undertaking

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3522784.3522786

Reference25 articles.

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2. CNN-based single image obstacle avoidance on a quadrotor

3. Christophe De Wagter Federico Paredes-Vallés Nilay Sheth and Guido De Croon. 2021. Learning fast in autonomous drone racing. Nature Machine Intelligence(2021) 1-1. https://doi.org/10.1038/s42256-021-00405-z 10.1038/s42256-021-00405-z

4. Christophe De Wagter Federico Paredes-Vallés Nilay Sheth and Guido De Croon. 2021. Learning fast in autonomous drone racing. Nature Machine Intelligence(2021) 1-1. https://doi.org/10.1038/s42256-021-00405-z

5. Jeffrey Delmerico , Titus Cieslewski , Henri Rebecq , Matthias Faessler , and Davide Scaramuzza . 2019 . Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset. In IEEE International Conference on Robotics and Automation (ICRA). 6713–6719 . https://doi.org/10.1109/ICRA.2019.8793887 10.1109/ICRA.2019.8793887 Jeffrey Delmerico, Titus Cieslewski, Henri Rebecq, Matthias Faessler, and Davide Scaramuzza. 2019. Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset. In IEEE International Conference on Robotics and Automation (ICRA). 6713–6719. https://doi.org/10.1109/ICRA.2019.8793887

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