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    Item type:Publication, Access status: without files ,
    From Sensors to MASS: Digital Representation of the Perceived Environment enabling Ship Navigation
    (IOP Publishing, 2020-11)
    Burmeister, Hans-Christoph
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    Constapel, Manfred
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    Ugé, Constance
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    Jahn, Carlos
    Maritime Autonomous Surface Ships (MASS) do require shifting from human information processing to automation functions. While supporting the sensory processing of human navigation by automated information acquisition from different sensors is an already established (and even in many cases mandatory) technology with a set of framing standards and information exchanges, defining a common data set for a perceived environment model is currently neglected which hinders modularization of MASS technology development. Beginning with an introduction into the navigational process as well as information processing, this paper subsequently proposes an initial minimum data set for different aspects of ship navigation.
    Publicationtype: Conference Paper
      21
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    Item type:Publication, Access status: without files ,
    Towards an investigation of a MASS-assisted anti-grounding service through simulated nautical scenarios in a ship handling simulator
    (IOP Publishing, 2020-11)
    Schneider, Vincent Emanuel
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    Constapel, Manfred
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    Riordan, J.
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    Flannery, F.
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    Burmeister, Hans-Christoph
    Vessel groundings pose a major risk for maritime safety, constituting 20 percent of all incidents in the last decade. Frequent dredging and bottom mapping are resource intensive solutions currently employed, but these services cannot be maintained with the necessary frequency in all critical areas. While ships are carrying echo sounders to acquire precise and current under keel clearance data, it does not allow the vessel to react to possible deviations from the map data. Within the RoboVaaS project, a service is designed, implemented and tested in simulation. This service consists of one or more small MASS travelling ahead of a merchant vessel, collecting bathymetric data with enough lead time for the merchant vessel to react to possible threats, e.g. by course correction. This service is tested in compliance with the IMO HCD guideline in a quick approach and safe environment using a ship handling simulator. The simulator is augmented by a display system based on an ECDIS map and displaying the bathymetric data in three different scenarios. These scenarios are tested with nautical officers to collect feedback for service design and implementation with trained personnel and show the effectiveness of the chosen human machine interface.
    Publicationtype: Conference Paper
      24
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    Item type:Publication, Access status: without files ,
    Robotic service concepts for the port of tomorrow: Developed via a small-scale demonstration testbed
    (2020-11)
    Schneider, Vincent Emanuel
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    Delea, Cosmin
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    Oeffner, Johannes
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    Sarpong, Benjamin
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    Burmeister, Hans-Christoph
    The development of Unmanned Surface Vehicles (USVs) has been impelled in recent decades by oceanographic and military applications. USVs are ideally suited to perform routine tasks in port environments - such as collecting bathymetry data - and can act as a platform to develop new applications for the port of the future. This paper elaborates possible robotic service concepts for a port environment and describes the construction of a demonstration vehicle as a modular platform as well as the integration of the necessary software infrastructure in order to show the complete service pipeline. A key component of the development is the involvement of practitioners and potential end users from the port authority of Europe's 3rd largest seaport- the port of Hamburg.
    Publicationtype: Conference Paper
      14
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    Item type:Publication, Access status: without files ,
    Assessing safety effects of digitization with the european maritime simulator network emsn: The sea traffic management case
    (Fac. of Navigation, Gdynia Maritime Univ., 2020-03)
    Burmeister, Hans-Christoph
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    Hensel, Tina
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    Reimann, Maximilian
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    Jahn, Carlos
    This paper will give an intro into the technical backbone of the EMSN and derive necessary specifications to allow for objective testing in large scale. Further, it will demonstrate the potential of EMSN as a maritime safety test-bed on the STM case. Therefore, the simulations executed within the EMSN are evaluated regarding their safety level in order to demonstrate the effects of various measures to improve safety. Based on a fuzzy logic approach, numerical Data from the EMSN Data-Tracker is used as an input to assess a present traffic situation from the perspective of a specific ship and outputs a comprehensive safety index developed by expert opinions. The safety index is used to further analyze navigators’ behavior and decisions in different maritime traffic scenarios that are executed within the EMSN.
    Publicationtype: Journal Article
      20
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    Item type:Publication, Access status: without files ,
    Dynamic 'Standing Orders' for Autonomous Navigation System by means of Machine Learning
    (2019-11)
    Scheidweiler, Tina
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    Burmeister, Hans-Christoph
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    Hübner, Sören
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    Jahn, Carlos
    Globalisation and new environmental legislations lead to a rising need for new technological developments for the shipping industry, espacially creating smart ports and smart waterways. Thus, Maritime Autonomus Surface Ships (MASS) are on the horizon. In order to be able to operate safely in the presence of other vessels, a module that dynamically determines action ranges for avoidance manoeuvres based on machine learning algorithms will be developed. Using historical AIS data, which provide ship's dynamic as well as static and voyage related data, ship trajectories and thus historical encounter situations of ships are extracted. Using k-means clustering, navigational behaviour of the vessels during an encounter situation can be examined and predicted for future encounter situations.
    Publicationtype: Conference Paper
      18
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    Item type:Publication, Access status: with files ,
    MALITUP : machine learning in theory and practice
    (2018)
    Kastner, Marvin
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    Scheidweiler, Tina
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    Burmeister, Hans-Christoph
    Increasing digitalization, rapid developments of machine learning and artificial intelligence as well as exponentially growing accumulation of data and automisation lead to new jobs in the areas of IT, data science and research. Likewise in the field of (maritime) logistics, digitalization is becoming increasingly important, resulting in an ever-increasing demand for trained personnel in the field of machine learning. One facilitator of maritime digitalization was the introduction of the Automated Identification System, which opened up a number of possibilities using machine learning in the maritime sector.
    Publicationtype: Conference Poster not in Proceedings
      245  131
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    Item type:Publication, Access status: without files ,
    The future of rail automation: A scenario-based technology roadmap for the rail automation market
    (2016-09-01)
    Burmeister, Hans-Christoph
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    Daim, Tugrul
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    Ernst, Horst
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    Herstatt, Cornelius
    This paper proposes a four-step approach based on technology roadmapping and scenario-based roadmapping. The objective is to evaluate the relevance of new products and technologies and its variation under a range of possible future conditions or scenarios. A case study on rail automation for passenger transport systems is conducted to demonstrate the applicability of the proposed method. Market drivers, new systems, products and technologies are identified in a literature review and then verified and linked by expert judgments. Analyzing the resulting graphical representation of relevance and robustness from the proposed approach leads to a periodization of products and technologies for future development and an evaluation of the most influential market driver. The proposed approach for scenario-based technology roadmapping facilitates robust decision making under future uncertainties.
    Publicationtype: Journal Article
      73
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    Item type:Publication, Access status: without files ,
    Maritime risk assessment : modeling collisions with vessels lying at an anchorage
    (CRC Press, 2013)
    Burmeister, Hans-Christoph
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    Jahn, Carlos
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    Töter, S.
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    Froese, Jens
    This paper proposes a collision model for ships underway and temporary objects as an extension to state-of-the-art maritime risk assessment. It gives a brief review of frequency modeling's theory and its applications, before it analogously derives a model to assess the risk of anchorage areas. Subsequently, its benefit is demonstrated by an example scenario. © 2013 Taylor & Francis Group.
    Publicationtype: Conference Paper
      63