: Dataset
2022
Boittiaux Clementin, Dune Claire, Ferrera Maxime, Arnaubec Aurelien, Marxer Ricard, Van Audenhaege Loic, Matabos Marjolaine, Hugel Vincent (2022). Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization . SEANOE . https://doi.org/10.17882/92226
Bibliography
2023
Arnaubec Aurelien, Ferrera Maxime, Escartín Javier, Matabos Marjolaine, Gracias Nuno, Opderbecke Jan (2023). Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software . Journal of Marine Science and Engineering , 11(5), 985 (18p.) . Publisher's official version : https://doi.org/10.3390/jmse11050985 , Open Access version : https://archimer.ifremer.fr/doc/00836/94752/
Boittiaux Clementin, Dune-Maillard Claire, Ferrera Maxime, Arnaubec Aurelien, Marxer Ricard, Matabos Marjolaine, Van Audenhaege Loic, Hugel Vincent Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization . Arxiv / International Journal of Robotics Research IN PRESS . Publisher's official version : https://doi.org/10.48550/arXiv.2305.05301 , Open Access version : https://archimer.ifremer.fr/doc/00836/94826/
2021
Kumar Peeyush, Gracias Nuno, Istenic Klemen, Garcia Rafael, Arnaubec Aurelien, Ferrera Maxime, Bajjouk Touria (2021). Combined use of a frame and a linear pushbroom camera for deep-sea 3D hyperspectral mapping . OCEANS 2021: San Diego – Porto, 2021, Electronic ISBN:978-0-692-93559-0, ISSN: 0197-7385. pp. 1-9 . https://archimer.ifremer.fr/doc/00759/87116/
Ferrera Maxime, Eudes Alexandre, Moras Julien, Sanfourche Martial, Le Besnerais Guy (2021). OV2SLAM: A Fully Online and Versatile Visual SLAM for Real-Time Applications . Ieee Robotics And Automation Letters , 6(2), 1399-1406 . Publisher's official version : https://doi.org/10.1109/LRA.2021.3058069 , Open Access version : https://archimer.ifremer.fr/doc/00684/79583/
Ferrera Maxime, Arnaubec Aurelien, Istenic Klemen, Gracias Nuno, Bajjouk Touria (2021). Hyperspectral 3D Mapping of Underwater Environments . Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 3696-3705 . https://archimer.ifremer.fr/doc/00728/83974/