The problem of designing effective systems to prevent risks and hazards caused by drones in critical areas has gained significant attention in recent years. In this short paper, we introduce the idea of computing optimal deployments of anti-drone sensors in a given region using simulation-based optimisation via heuristic-guided intelligent search and a geometric modelling of the problem, and show preliminary results in a real-world scenario.
AI-guided optimal deployments of drone-intercepting systems in large critical areas / Esposito, M.. - 2987:(2021), pp. 97-101. (Intervento presentato al convegno 3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2021 tenutosi a Padova, Italy).
AI-guided optimal deployments of drone-intercepting systems in large critical areas
Esposito M.
Primo
2021
Abstract
The problem of designing effective systems to prevent risks and hazards caused by drones in critical areas has gained significant attention in recent years. In this short paper, we introduce the idea of computing optimal deployments of anti-drone sensors in a given region using simulation-based optimisation via heuristic-guided intelligent search and a geometric modelling of the problem, and show preliminary results in a real-world scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
