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The ROAM@CRAS dataset was acquired using an Autonomous Surface Vehicle (ASV), the SENSE, equipped with a set of incorporated sensors for perceiving the surface and underwater...

The dataset was acquired at Porto, one of the most iconic city of Portugal. It were obtained diverse trajectories in different type of scenarios - around of the costal zone of...

The Durius Aerial Dataset with Diversified Information (DADDI) was acquired using an Unmanned Aerial Vehicle (UAV), the RAVEN, equipped with an heterogeneous perception system,...

The dataset comprises a set of images that includes different man-made objects considered critical in underwater operations. Anchors, buoy, chain, flutuation module, 3D marker,...