Autonomous Drone Landing with Fiducial Markers and a Gimbal-Mounted Camera for Active Tracking

Joshua Springer*, Marcel Kyas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-247
Number of pages5
ISBN (Electronic)9781665472609
DOIs
Publication statusPublished - 2022
Event6th IEEE International Conference on Robotic Computing, IRC 2022 - Virtual, Online, Italy
Duration: 5 Dec 20227 Dec 2022

Publication series

NameProceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022

Conference

Conference6th IEEE International Conference on Robotic Computing, IRC 2022
Country/TerritoryItaly
CityVirtual, Online
Period5/12/227/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Other keywords

  • autonomous
  • drone
  • fiducial
  • landing
  • precision

Fingerprint

Dive into the research topics of 'Autonomous Drone Landing with Fiducial Markers and a Gimbal-Mounted Camera for Active Tracking'. Together they form a unique fingerprint.

Cite this