This autonomous navigation that it is progressing at a good pace in the automotive sector, it is still a main line in its operation. boats and almost nothing sports nautical. European project Ocean, in which researchers Polytechnic University of Catalonia–Barcelona Tech (Processor) tries to provide the appropriate ropes to tie down safety on any trip. In the case of UPC, researchers are developing algorithms based on signal processing and ‘machine learning’ to detect obstacles at sea.
While any car over 30,000 euros will have collision avoidance devices, involuntary lane-changing or pedestrian avoidance systems, for example, only a few large ships and cost 10 times more contain some primitive warnings, often audible and imprecise. HE ocean project In the sailing world it can in any case guide the navigation changes of the 21st century, which are usually included in idling (lower than normal speed).
every year, European naval fleet suffered nearly 3,000 accidents. Of these, 28% are categorized as severe or very severe, meaning they cause deaths, pollution, fires or property losses. Also, according to the European Maritime Safety Agency, the majority of these accidents occur while cruising on both freighters, passengers and services. The European Ocean project therefore has a favorable economic motivation, especially for the insurance sector. 13 partners from seven European countries join Ocean, including UPC through the Center for Language and Speech Technologies and Applications (TALP), part of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI). Transportation Innovation (CENIT), part of the International Center for Numerical Methods in Engineering (CIMNE). The consortium formed to develop the project consists of organizations from Norway, Greece, Spain, Denmark, Portugal, Ireland and the United Kingdom.
Goals
Ocean’s target reduce boating accidents resulting from human error, technical factors, operational limitations, inadequate processes and procedures, or business pressures. It’s a first step in professional navigation, so sport boats have more time for accidents ahead of them. However, regulations tend to change and improvements and changes are planned in regulations, standards and design approaches for all displacements (weight and size) of the equipment on the bridge of the ships. Ultimately, the European project can be decisive in avoiding environmental disasters.
Co-financed by the Horizon Europe program and UK Research and Innovation, the project began last October and will run until 2025. Language and Speech Applications (TALP) of the Intelligent Data Science and Artificial Intelligence Research Center (IDEAI) will contribute to the detection of obstacles at sea, together with other European partners. Specifically, researchers will develop algorithms based on signal processing and ‘machine learning‘ (machine learning) notifies the UPC for automatic detection of lost floating containers and marine mammals via high-resolution satellite images, as well as automatic acoustic detection of the latter. In future stages, ships will need to have motion detectors, radars and autonomous driving vehicles associated with beacon control.
Based on the information gathered, the Transportation Innovation Center (ZENITH-CIMNEE), the project coordinator, is responsible for designing and implementing a project. data platform. This infrastructure collects forecast data as well as monitoring data from multiple sources—what has been or seen at sea—from both partners of the same consortium and other operators. With all this information, the platform sends navigation alert messages about the locations of obstacles at sea, especially marine mammals and floating containers (falls from shipping vessels are common). In this way, boats can avoid obstacles and avoid accidents.