Abstract
Precision landing is a remaining challenge in autonomous drone flight. Fiducial markers provide a computationally cheap way for a drone to locate a landing pad and autonomously execute precision landings. However, most work in this field depends on either rigidly-mounted or downward-facing cameras which restrict the drone's ability to detect the marker. We present a method of autonomous landing that uses a gimbal-mounted camera to quickly search for the landing pad by simply spinning in place while tilting the camera up and down, and to continually aim the camera at the landing pad during approach and landing. This method demonstrates successful search, tracking, and landing with 4 of 5 tested fiducial systems on a physical drone with no human intervention. Per fiducial system, we present the distributions of the distances from the drone to the center of the landing pad after each successful landing. We also show representative examples of flight trajectories, marker tracking performance, and control outputs for each channel during the landing. Finally, we discuss qualitative strengths and weaknesses underlying each system.
Original language | English |
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Title of host publication | Proceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 243-247 |
Number of pages | 5 |
ISBN (Electronic) | 9781665472609 |
DOIs | |
Publication status | Published - 2022 |
Event | 6th IEEE International Conference on Robotic Computing, IRC 2022 - Virtual, Online, Italy Duration: 5 Dec 2022 → 7 Dec 2022 |
Publication series
Name | Proceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022 |
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Conference
Conference | 6th IEEE International Conference on Robotic Computing, IRC 2022 |
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Country/Territory | Italy |
City | Virtual, Online |
Period | 5/12/22 → 7/12/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Other keywords
- autonomous
- drone
- fiducial
- landing
- precision