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ASSURING AUTONOMOUS SAILING FROM A TO B WHILE MINIMIZING OPERATIONAL COSTS
With the rise of the self-driving cars and other autonomous systems, the development and application of autonomous vessels are also getting increasing attention. Autonomous sailing from a location A to a location B has to take both safety and financial concerns into consideration. This Ph.D. thesis wants to address this challenge by combining a cost optimization algorithm, a situational awareness algorithm, and a collision avoidance algorithm together with an optimal dynamic route planning method in real-time. A balance between computational efficiency and effectiveness will be sought. Both separate simulations of each aspect as well as integrating simulations covering all aspects at once will be done to demonstrate the effectiveness of all these algorithms and the trustworthiness of the whole system.
Date:22 Nov 2019 → Today
Keywords:Autonomous sailing, Collision avoidance, data fusion, situational awareness, optimization algorithms
Disciplines:Maritime engineering, Motion planning and control
Project type:PhD project