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Sea-Scan: High-Accuracy, ML-based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring

Tian Tian, Agastya Raj, Lara Flanagan, John Kennedy, Marco Ruffini

arXiv:2606.21326Published June 19, 20260 citations
  • cs.SD
  • cs.LG
  • eess.SP

Abstract

We present an ML-based vessel detection and localization system, trained with weak supervision from imperfect AIS labels, that achieves a 97.8% detection rate at 1.98% false-trigger rate, successfully identifies dark-vessel events from unlabeled data.

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