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Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees.

, , , , , and . CoRR, (2024)

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Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry., , and . CoRR, (2024)SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization., , , , , and . CoRR, (2024)UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor., , , and . CoRR, (2019)Fault Avoidance in Development of Robot Motion-Control Software by Modeling the Computation., , , and . SIMPAR, volume 8810 of Lecture Notes in Computer Science, page 158-169. Springer, (2014)Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees., , , , , and . CoRR, (2024)MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection., , , , , , and . IROS, page 6141-6148. (2023)UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework., , , , , and . ICAR, page 570-576. IEEE, (2023)Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection., , , and . ROBOVIS, volume 2077 of Communications in Computer and Information Science, page 66-81. Springer, (2024)