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Demo: Developing a Fully Autonomous DJI Payload

Published: 01 October 2024 Publication History

Abstract

In this demo, we showcase the collaborative effort that was put into bringing an offloading protocol for UAVs, Stop & Offload [1], on real-world hardware. The process includes multiple stages, from hardware configuration and testing in a simulated environment, to the final deployment in the field. The protocol enhances patrolling missions by improving coordination and data offloading among drones. We address the challenges of translating this protocol into a real hardware implementation using DJI Drones, and provide a detailed walkthrough of the process, from simulation to deployment. Our solution utilizes the DJI PSDK [2] libraries, ROS2 [5], and the Gazebo [4] simulator to ensure a secure and strong implementation.

References

[1]
Bartolini, N., Coletta, A., Giorgi, F., Maselli, G., Prata, M., and Silvestri, D. Stop & offload: Periodic data offloading in uav networks. Computer Communications 212 (2023), 239--250.
[2]
DJI. Dji payload sdk (psdk). https://github.com/dji-sdk/Payload-SDK, 2024.
[3]
Life, U. Psdk ros2: Opensource psdk ros2 wrapper. https://github.com/umdlife/psdk_ros2, 2023.
[4]
Open Robotics. Gazebo Simulator. https://gazebosim.org/, 2023.
[5]
Open Source Robotics Foundation. Ros: Robot operating system. https://ros.org/, 2024.

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Published In

cover image ACM Conferences
MobiHoc '24: Proceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
October 2024
511 pages
ISBN:9798400705212
DOI:10.1145/3641512
This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2024

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Author Tags

  1. drones
  2. UAVs
  3. patrolling
  4. networks
  5. sensors
  6. ROS

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