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Research Departments: Marine Perception Research Topics: Sensors & Networks
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Displaying results 1 to 10 of 17.
  1. Eco-Crossing – Development, investigation and demonstration of an intelligent route-optimizing system to reduce the fuel consumption of ferries

    Eco-Crossing – Development, investigation and demonstration of an intelligent route-optimizing system to reduce the fuel consumption of ferries

    Eco-Crossing The key challenges in operational shipping are sustainable and optimal ship operation and the reduction of emissions. In international merchant shipping, weather routing is already being

  2. APLASTIC-Q Arktis – Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz

    APLASTIC-Q Arktis – Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz

    Beach litter is increasingly considered an important indicator of ocean pollution in international agreements. In the past, numerous methods have been developed to record beach litter. However, these

  3. XAI4SFAS – Intelligentes Assistenzsystem für die teilautonome Schiffsführung

    XAI4SFAS – Intelligentes Assistenzsystem für die teilautonome Schiffsführung

    Partners marinom GmbH Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

  4. ZLW – Zukunftslabor Wassermanagement

    ZLW – Zukunftslabor Wassermanagement

    Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − Technische Universität Braunschweig (TUBS) − Technische Uni

  5. APLASTIC-Q-Canada – Machine Learning identification of pollutants and other debris in Canadian Waterways

    APLASTIC-Q-Canada – Machine Learning identification of pollutants and other debris in Canadian Waterways

    The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the

  6. PlasticObs_plus – Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

    PlasticObs_plus – Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

    Airborne monitoring for plastic litter detection represents a modern, universal observation method to address the urgent and rapidly increasing problem of plastic litter pollution on a global scale wi

  7. APLASTICQ-IDN – Plastics monitoring, identification and capacity building in Indonesia

    APLASTICQ-IDN – Plastics monitoring, identification and capacity building in Indonesia

    Recent research shows that Indonesian rivers are among the most polluted in the world. In response, the Indonesian government has launched the Indonesian’s Plan of Action for Combating Marine Debris,

  8. APLASTIC-Q-Obermaubach – APLASTIC-Q-Data-analysis-for-waste-in-Obermaubach

    APLASTIC-Q-Obermaubach – APLASTIC-Q-Data-analysis-for-waste-in-Obermaubach

    Several European countries were affected by the destructive floods that occurred in Central Europe in July 2021. The floods damaged infrastructure in the process, and large amounts of debris were rele

  9. Saimidris – Sailing Intelligent Micro Drifter Swarms

    Saimidris – Sailing Intelligent Micro Drifter Swarms

    Partners Carl von Ossietzky Universität Oldenburg

  10. NorthSat-X – The North Sea from space: Using explainable artificial intelligence to improve satellite observations of climate change

    NorthSat-X – The North Sea from space: Using explainable artificial intelligence to improve satellite observations of climate change

    Partners Carl von Ossietzky Universität Oldenburg

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