Rotated object detection with forward-looking sonar in underwater applications

•A novel data set containing underwater sonar images.•Two novel deep learning architectures to detect underwater objects.•Three novel representations for bounding box regression. Autonomous underwater vehicles (AUVs) are often used to inspect the condition of submerged structures in oil and gas fiel...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 140; p. 112870
Main Authors:	Neves, Gustavo, Ruiz, Marco, Fontinele, Jefferson, Oliveira, Luciano
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01-02-2020 Elsevier BV
Subjects:	Artificial neural networks Autonomous underwater vehicle Autonomous underwater vehicles Boxes Deep learning Forward-looking sonar Frames per second Image detection Noise levels Object recognition Random noise Regression analysis Representations Rotation-invariant recognition Satellite navigation systems Shipwreck detection Sonar Subsea structure detection Trajectory planning Underwater inspection Deep learning Subsea structure detection Shipwreck detection Forward-looking sonar Rotation-invariant recognition Autonomous underwater vehicle
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