AI-Enabled Safety Assurance for Swarm UAV Operations
Survey on making AI-driven drone swarms safe enough for civilian use — covering what breaks, how to detect it, and how to test it.
Scope
- Reliability — fault tolerance, redundancy, and maintenance modeling (k-out-of-n, FMEA) for system, component, and communication failures
- Anomaly detection — statistical and ML methods for GPS/INS drift; IDS and ConvNet approaches for communication faults
- Communication — direct, indirect, and ACL-based architectures; centralized vs. distributed control
- Formation and navigation — formation control, route planning, obstacle avoidance
- Testing — simulation frameworks and validation strategies
Applications
Surveillance, delivery, search and rescue, urban air mobility.
ArXiv link coming soon.