Autonomous Navigation in Marine Vehicles: AI and IoT-Based ‎Approaches

  • Authors

    • IKHAR AVINASH KHEMRAJ Department of Electrical and Electronics Engineering, Kalinga University, Raipur, India
    • Charpe Prasanjeet Prabhakar Department of Electrical and Electronics Engineering, Kalinga University, Raipur, India
    https://doi.org/10.14419/ers7yy03

    Received date: May 2, 2025

    Accepted date: May 26, 2025

    Published date: July 8, 2025

  • IOT; AI; Autonomous Maritime Navigation; Decision Making; Deep Learning; Machine Learning

  • Abstract

    IoT and AI have brought about a revolution in autonomous maritime navigation. This research looks at the integrated technology to see how ‎autonomous maritime systems use these components to navigate highly dynamic maritime environments. The research delves into ‎perception, decision making, and control systems as the building blocks. The proposed IoT-enabled system architecture has improved ‎sensors to capture and transmit data in real time to always sustain situational awareness. The vehicle’s performance and operational ‎safety improve with the application of AI techniques, which include machine learning and deep reinforcement learning for route planning ‎and obstacle detection, and adaptive decision making. This research provides a framework and conceptual maps on how to collect data and ‎process autonomous navigation steps. Through simulation and real-world prototype deployment, the system proves to be able to keep exact ‎mobility and find the best route in different environmental conditions. The research identifies latency, cybersecurity, and energy efficiency ‎constraints and recommends future research directions to address these issues. This research provides a foundation to develop innovative ‎autonomous systems that will drive long-term advancements in maritime exploration and transportation systems‎.

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  • How to Cite

    KHEMRAJ, I. A. ., & Prabhakar , C. P. . (2025). Autonomous Navigation in Marine Vehicles: AI and IoT-Based ‎Approaches. International Journal of Basic and Applied Sciences, 14(SI-1), 18-21. https://doi.org/10.14419/ers7yy03