What is it about?
This article presents the possibility of helping navigators direct the movement of an object, while safely passing through other objects, using an artificial neural network and optimization methods. It has been shown that the best trajectory of an object in terms of optimality and security, from among many possible options, can be determined by the method of dynamic programming with the simultaneous use of an artificial neural network, by depicting the encountered objects as moving in forbidden domains. Analytical considerations are illustrated with examples of simulation studies of the developed calculation program on real navigational situations at sea. This research took into account both the number of objects encountered and the different shapes of domains assigned to the objects encountered. Finally, the optimal value of the safe object trajectory time was compared on the set point value of the safe passing distance of objects in given visibility conditions at sea, and the degree of discretization of calculations was determined by the density of the location of nodes along the route of objects.
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Why is it important?
The use of radar remote sensing to identify object movement parameters allows the synthesis of an appropriate algorithm to support the navigator in determining the safe trajectory of the object as a sequence of subsequent changes in its course and speed. Presentation of encountered-objects’ movement in the form of moving neural domains of variable size, depending on the distance and time of approaching objects, reflects the navigator’s subjectivity in the assessment of collision risk. The use of several hundred navigator officers to teach an artificial neural network causes it to interpret—in the computational algorithm of the domain of danger of met objects—as if it is done by a single experienced navigator. Analysis of possible domain shapes indicates the possibility of their adaptation to open or restricted waters. Node density in the dynamic-programming trajectory of the object is a compromise between calculation time and object-route accuracy.
Perspectives
This work did not exhaust all issues related to the safe management of the movement of objects at sea. In subsequent studies, consideration of the safe object control sensitivity analysis to the inaccuracy of information from navigation devices, changes in object-dynamics parameters, and the impact of hydrometeorological disturbances should be undertaken.
Professor Józef Andrzej Lisowski
Read the Original
This page is a summary of: Multistage Dynamic Optimization with Different Forms of Neural-State Constraints to Avoid Many Object Collisions Based on Radar Remote Sensing, Remote Sensing, March 2020, MDPI AG,
DOI: 10.3390/rs12061020.
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