Drone deconfliction system
Abstract
To ensure flight safety in multi-drone environments, the Drone Deconfliction System applies predictive algorithms, logic based guidance, and live 3D visualization to proactively manage airspace conflicts. Missions are loaded from structured CSV files, processed into smooth flight paths, and analyzed for proximity and timing violations at each simulation step. The system supports large-scale operations through distributed computing and GPU acceleration, providing actionable recommendations and robust conflict reporting. This modular platform offers a scalable foundation for autonomous drone traffic management and future AI-driven enhancement.
Fields of Study & Subjects
Air Traffic Management and Optimization
Robotic Path Planning Algorithms
Aerospace Engineering and Control Systems
Publication details
- Journal / source
- IET conference proceedings.
- Volume
- 2025
- Issue
- 43
- Pages
- 73–79
- Publication date
- 1 February 2026
- Language
- EN