{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/the-aqualoc-dataset-towards-real-time","title":"The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System","arxiv_id":"1809.07076","date":"2018-09-19","proceeding":null,"authors":["Maxime Ferrera","Julien Moras","Pauline Trouvé-Peloux","Vincent Creuze","Denis Dégez"],"abstract":"This paper presents a new underwater dataset acquired from a\nvisual-inertial-pressure acquisition system and meant to be used to benchmark\nvisual odometry, visual SLAM and multi-sensors SLAM solutions. The dataset is\npublicly available and contains ground-truth trajectories for evaluation.","url_abs":"http://arxiv.org/abs/1809.07076v1","url_pdf":"http://arxiv.org/pdf/1809.07076v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"visual-odometry","task_name":"Visual Odometry"}],"methods":[],"datasets_introduced":[{"slug":"aqualoc","name":"Aqualoc","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}