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Long-term Mapping Techniques for Ship Hull Inspection and Surveillance using an Autonomous Underwater Vehicle.

, , , and . J. Field Robotics, 33 (3): 265-289 (2016)

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Building 3D mosaics from an Autonomous Underwater Vehicle, Doppler velocity log, and 2D imaging sonar., , , , and . ICRA, page 1137-1143. IEEE, (2015)Online Probabilistic Change Detection in Feature-Based Maps., , , , and . ICRA, page 1-9. IEEE, (2018)On the importance of modeling camera calibration uncertainty in visual SLAM., and . ICRA, page 3777-3784. IEEE, (2013)Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation., , , , and . IROS, page 1230-1237. IEEE, (2016)Long-term Mapping Techniques for Ship Hull Inspection and Surveillance using an Autonomous Underwater Vehicle., , , and . J. Field Robotics, 33 (3): 265-289 (2016)Toward long-term, automated ship hull inspection with visual SLAM, explicit surface optimization, and generic graph-sparsification., and . ICRA, page 3832-3839. IEEE, (2014)Mapping underwater ship hulls using a model-assisted bundle adjustment framework., , and . Robotics Auton. Syst., (2017)Real-time SLAM with piecewise-planar surface models and sparse 3D point clouds., and . IROS, page 1042-1049. IEEE, (2013)Large-scale model-assisted bundle adjustment using Gaussian max-mixtures., and . ICRA, page 5576-5581. IEEE, (2016)