5 papers
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges
Martin Aubard, Ana Madureira, Luís Teixeira +1
With the growing interest in underwater exploration and monitoring, Autonomous Underwater Vehicles (AUVs) have become essential. The recent interest in onboard Deep Learning (DL) h…
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
Martin Aubard, László Antal, Ana Madureira +2
This paper introduces ROSAR, a novel framework enhancing the robustness of deep learning object detection models tailored for side-scan sonar (SSS) images, generated by autonomous…
Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
Martin Aubard, László Antal, Ana Madureira +1
In this paper we present YOLOX-ViT, a novel object detection model, and investigate the efficacy of knowledge distillation for model size reduction without sacrificing performance.…
Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees
Martin Aubard, Sergio Quijano, Olaya Álvarez-Tuñón +3
The recent advance in autonomous underwater robotics facilitates autonomous inspection tasks of offshore infrastructure. However, current inspection missions rely on predefined pla…
SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization
Olaya Álvarez-Tuñón, Luiza Ribeiro Marnet, László Antal +3
This paper presents SubPipe, an underwater dataset for SLAM, object detection, and image segmentation. SubPipe has been recorded using a \gls{LAUV}, operated by OceanScan MST, and…