Open AccessFrom Sensors to MASS: Digital Representation of the Perceived Environment enabling Ship Navigation
Author(s) -
Hans-Christoph Burmeister,
Manfred Constapel,
Constance Ugé,
Carlos Jahn
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/929/1/012028
Subject(s) - modular programming , computer science , automation , human–computer interaction , set (abstract data type) , representation (politics) , information processing , engineering , mechanical engineering , neuroscience , politics , law , political science , biology , programming language
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.