{"id":4750,"date":"2023-10-24T18:17:56","date_gmt":"2023-10-24T17:17:56","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=4750"},"modified":"2024-05-30T09:35:48","modified_gmt":"2024-05-30T08:35:48","slug":"driftingmines","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/projects\/driftingmines\/","title":{"rendered":"Drifting Mines"},"content":{"rendered":"

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Despite being banned by the Hague Convention 1907, drifting mines have become\u00a0nowadays an increasingly dangerous threat. By definition, those naval mines are floating\u00a0<\/span>on the surface or close to the surface of the sea. The MCM capabilities developed until now\u00a0<\/span>are ill-suited to detect such mines in operational conditions. Drifting mines put hence\u00a0<\/span>significant stress and work effort on Mine CounterMeasures (MCM) vessels, even for a few mines.<\/span><\/p>\n

In this collaboration project with UGent, Exail Robotics Belgium, and Naval Group Belgium, we will\u00a0capture key\u00a0<\/span>performance data for detecting drifting mines in various operational conditions. The\u00a0<\/span>project includes preliminary design of an operational drifting mine detection solution. The\u00a0<\/span>project is complementary to the remote MCM capability, as it will explore new sensor\u00a0<\/span>technologies, and sensor fusion algorithms which are absent from the remote MCM program.<\/span><\/p>\n

The main outputs of this project are on the one hand a selection of sensors and post-processing algorithms, with quantitative detection\u00a0<\/span>performance metrics and on the other hand a c<\/span>ollection of a test data set related to drifting mines. This dataset will be obtained\u00a0first during an on-shore test\u00a0<\/span>campaign in controlled conditions, in order to\u00a0<\/span>preselect the most promising sensors and algorithms. Then, in a second step, an\u00a0<\/span>off-shore test campaign will be conducted together with the BE-Navy\u00a0<\/span>to demonstrate performances in operational conditions.\u00a0<\/span><\/p>\n

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MCMlab<\/a><\/p>\n

2023 – 2024<\/span><\/p>\n

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Olga Lopera<\/a> (CISS)<\/p>\n

Charles Hamesse<\/a> (MWMW)<\/p>\n

Pierre Edouard Ouendo<\/a>\u00a0(RAS)<\/p>\n

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Project Publications<\/h4>\n<\/div>\n
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