Autonomous Priority-based Target Tracking for Drone Swarms
| Reference number | |
| Coordinator | Linköpings universitet - Linköpings tekniska högskola Inst f datavetenskap IDA |
| Funding from Vinnova | SEK 749 458 |
| Project duration | December 2025 - July 2026 |
| Status | Ongoing |
| Venture | Radikal innovation |
| Call | Drone swarm challenge 2025 |
Important results from the project
The project developed and demonstrated an autonomous drone swarm system for priority-based target tracking. The integrated solution combined autonomous coordination, adaptive perception, AI-assisted mission management through the Tactical AI Unit (TAU), and autonomous target tracking. The complete system was successfully demonstrated during the WASP WARA-PS Data Collection Week and the Vinnova Drone Swarm Challenge events.
Expected long term effects
The project establishes general reusable technologies for autonomous drone swarms, including AI-assisted mission management, autonomous coordination, and adaptive perception. The results will be further developed and reused in CHASS (Center for Heterogeneous Adaptive Swarm Systems), the AuSSys project (Dnr. 2024-01775), and the AHA-IMPUT project (Dnr. 2024-01322), supporting future autonomous systems research.
Approach and implementation
The project was implemented through iterative software development, simulation-based validation, system integration, and field testing. The planned activities were successfully completed, and the project followed the schedule. Individual components were progressively integrated into a complete demonstrator and validated during the WARA-PS Data Collection Week before the final demonstration at the Vinnova Drone Swarm Challenge. Collaboration among participants worked well throughout the project.