Poster Cooperative UAV Sensor Fusion for Precision Localization and Navigation in Load Transport
Cooperative UAV transport operations in GPS-denied environments pose significant challenges in localization, coordination, and payload stability. This paper introduces a vision-based Leader-Follower drone system using MAVROS and depth cameras for real-time pose estimation and control. The leader transmits pose and velocity updates to the follower, ensuring synchronized movements. The system maintained a 50 Hz update rate, achieving 28 FPS, 12 ms latency, and 1.2 cm position error on a straight path. The 3-DEE system effectively managed payload-induced attitude variations with low vibration levels and improved speed accuracy. These results confirm the system's robustness for precise localization and stable cooperative UAV transport.
Authors
- Endrowednes Kuantama (ORCID: https://orcid.org/0000-0002-1615-7243)
- Avishkar Seth (ORCID: https://orcid.org/0000-0002-0902-9753)
- Subhas Chandra Mukhopadhyay (ORCID: https://orcid.org/0000-0002-8600-5907)
- Richard Han (ORCID: https://orcid.org/0000-0002-2161-8622)
- Alice James (ORCID: https://orcid.org/0000-0002-5997-8471)
Institutions
- Macquarie University (AU)
Publication Details
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1145/3666025.3699425
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00