Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance

arXiv:2607.22667 · cs.AI, cs.IT, cs.LG, cs.RO, cs.SY, eess.SP, eess.SY, math.IT · Submitted 2026-07-03 · Read on arXiv

cs.AI, cs.IT, cs.LG, cs.RO, cs.SY, eess.SP, eess.SY, math.IT

Submitted: 2026-07-03

Updated: 2026-09-02

Comments: 5 pages, 4 figures, accepted for the IEEE MetroSea 2026 Conference: Special Session 13: Object Detection, Tracking, and Sensor Fusion for Maritime Situational Awareness

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Information Gain — 8× in this paper · explained in 2 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 24 episodes

Sources

• Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking
• Proximal Policy Optimization Algorithms
• High-Dimensional Continuous Control Using Generalized Advantage Estimation

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