A novel approach for navigational guidance of ships using onboard monitoring systems

Dead Reckoning of Dynamically Positioned Ships: Using an Efficient Recurrent Neural Network

“…Measurable external disturbances include the wind velocity and wind direction for the system used in this paper. Although systems exist for measuring and estimating the wave spectrum parameters in the vicinity of the vessel [23], [24] and measuring the velocity and direction of the ocean current affecting the hull [25], we limit the environmental sensory equipment to sensors that are currently available in the system. A key assumption at this stage is that the velocities relative to the vessel frame are available without bias.…”

Collision risk detection and quantification in ship navigation with integrated bridge systems

“…This global vision is called "e-navigation" by the International Maritime Organization (IMO) and the International Association of Lighthouse Authorities (IALA). The integration among present navigation technologies and the implementation of intelligent decision support capabilities (Perera et al, 2012a;Nielsen and Jensen, 2011) with some limitations with human subjective factors in maritime transportation are proposed under this framework. One should note that e-navigation is classified as a user driven concept rather than a system driven concept at the present stage and that is formulated by IALA (IMO, 2007):…”

An On-site Current Profile Estimation Algorithm for a Moored Floating Structure**This work was supported by the Research Council of Norway (RCN) through the Centre for Research-based Innovation on Marine Operations (RCN-project 237929), and partly by the Centre of Excellence AMOS (RCN-project 223254).

“…Ren et al (2015b) and Ren and Skjetne (2016) present several tensionbased algorithms to locate a moored vessel. Wind velocity can be measured through wind sensors, and the wave spectrum is available from oceanographic data and onboard systems, for example Nielsen and Jensen (2011). For surface vessels exposed to an environmental disturbance with unknown current speed, Lekkas and Fossen (2014) proposed an approach to estimate the surface current speed with a couple of nonlinear adaptive observers.…”