Maritime transportation plays a crucial role in global trade and commerce, but it faces challenges such as increasing demands, safety concerns, and environmental issues. To address these challenges, the development of collision-free autonomous surface vessels (ASVs) has gained significant interest. This paper presents a comprehensive investigation into the development of an autonomous navigation system for ASVs, focussing on the integration of predictive and reactive strategies. The navigation system is designed to ensure collision-free path planning and navigation in dynamic environments. The experimental results highlight the effectiveness of the hybrid model and its implications for the self-improving system integration (SISSY) problem, where autonomous and legacy systems interact within a shared environment. The research presented in this paper contributes to the advancement of autonomous navigation systems for ASVs, aiming to enhance safety, efficiency, and sustainability in maritime operations.
From Social Robots to Autonomous Surface Vessels' Navigation
25.09.2023
910302 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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