% ORB-SLAM3 — Campos et al. 2021, IEEE Transactions on Robotics
@article{campos2021orbslam3,
  author    = {Campos, Carlos and Elvira, Richard and Gómez Rodríguez, Juan J.
               and Montiel, José M. M. and Tardós, Juan D.},
  title     = {{ORB-SLAM3}: An Accurate Open-Source Library for Visual,
               Visual-Inertial, and Multimap {SLAM}},
  journal   = {IEEE Transactions on Robotics},
  volume    = {37},
  number    = {6},
  pages     = {1874--1890},
  year      = {2021},
  doi       = {10.1109/TRO.2021.3075644},
}

% VINS-Fusion — Qin & Shen 2019
@article{qin2019fusion,
  author    = {Qin, Tong and Pan, Jie and Cao, Shaozu and Shen, Shaojie},
  title     = {A General Optimization-based Framework for Local Odometry
               Estimation with Multiple Sensors},
  journal   = {arXiv preprint arXiv:1901.03638},
  year      = {2019},
  url       = {https://arxiv.org/abs/1901.03638},
}

% Calibration sous-marine — Ferrera et al. 2019
@inproceedings{ferrera2019underwater,
  author    = {Ferrera, Maxime and Moras, Julien and Trouvé-Peloux, Pauline},
  title     = {Real-Time Monocular Visual Odometry for Turbid and Dynamic
               Underwater Environments},
  booktitle = {Proceedings of the IEEE International Conference on Robotics
               and Automation (ICRA)},
  year      = {2019},
  pages     = {9720--9726},
  doi       = {10.1109/ICRA.2019.8793818},
}

% Survey SLAM AUV — Joshi et al. 2019
@article{joshi2019survey,
  author    = {Joshi, Bharat and Rahman, Sharmin and Kalaitzakis, Michail
               and Cain, Brennan and Johnson, James and Xanthidis, Marios
               and Karapetyan, Nare and Hernandez, Aven and Henderson,
               Thomas C. and Rekleitis, Ioannis},
  title     = {Experimental Comparison of Open Source Visual-Inertial-Based
               State Estimation Algorithms in the Underwater Domain},
  booktitle = {2019 IEEE/RSJ International Conference on Intelligent Robots
               and Systems (IROS)},
  year      = {2019},
  pages     = {7227--7234},
  doi       = {10.1109/IROS40897.2019.8968049},
}

% OpenCV Learning — Bradski & Kaehler 2008
@book{bradski2008learning,
  author    = {Bradski, Gary and Kaehler, Adrian},
  title     = {Learning {OpenCV}: Computer Vision with the {OpenCV} Library},
  publisher = {O'Reilly Media},
  year      = {2008},
  isbn      = {978-0596516130},
}