Enhancing Maritime Navigation Safety through AIS-Based Visual Augmentation: A Deep Learning Approach to Integrating Real and Virtual Views

Abstract

Modern ship navigation systems predominantly utilize Electronic Chart Display and Information Systems (ECDIS) integrated with Global Navigation Satellite System (GNSS) equipment, radar, Automatic Identification System (AIS), and compass equipment to generate computer graphics. However, these computer-generated graphics are entirely virtual and do not fully replicate the real-world view seen through the ship's windshield. Consequently, users must manually interpret and convert this virtual information into actionable navigation data. This dual focus on the navigation screen and real-world traffic hazards contributes significantly to human error in ship navigation, often leading to accidents.To enhance the safety and usability of navigation systems, this design introduces an AIS-based visual enhancement simulation system for ship navigation. This system aims to transform the current navigation methods by superimposing computer-generated navigation information onto the real-world scene in real-time, thereby providing a more realistic and intuitive interface for the user.