Leonardo Macelloni

Toward Real-Time Shipwreck Detection for Autonomous Underwater Vehicles Using Deep Learning: A Model Evaluation Using High-Resolution Bathymetry Data

Agno Rubim de Assis, Thomas Guilment, Marco D’Emidio, Leonardo Macelloni

Autonomous Underwater Vehicles (AUVs) equipped with multibeam echosounders (MBESs) are deployed in oceans in expeditions worldwide to find shipwrecks, as they can survey the seafloor at the resolution required to identify such objects. Due to the severely constrained acoustic ban…Read more