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cs.AI2026
Exploring LLM Capabilities for Situational Understanding and COLREG compliance on real-world maritime navigation scenarios
Julius Wirbel, P. Nicholas Hansen, Line K. H. Clemmensen +1
Recently, Large Language Models (LLMs) have shown considerable capability for situational understanding, reasoning, and decision making in different domains, most notable in the au…
cs.AI2026
Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance
Andrei Starodubov, Yaqub Aris Prabowo, Andreas Hadjipieris +2
This paper presents an information-gain-guided reinforcement-learning sensor-selection framework for single-vessel tracking in heterogeneous maritime sensor networks. The proposed…