Publication: Intelligent control of micro autonomous underwater vehicle (AUV) for coral reef mapping
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Date
2024-07
Authors
Mohamad Firdaus bin Mohamad Saad
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Abstract
Autonomous Underwater Vehicles (AUVs) are pivotal tools for marine exploration, environmental monitoring, and underwater mapping, especially in coral reef ecosystems. The thesis "Intelligent Control of Micro Autonomous Underwater Vehicle for Coral Reef Mapping" explores advanced control strategies to enhance the navigation and mapping capabilities of AUVs in these environments. Coral reefs are critical marine ecosystems requiring precise mapping for conservation and research. This study leverages intelligent control systems to enable AUVs to navigate complex reef structures, gather high-resolution data, and produce detailed maps with improved accuracy and efficiency. Drawing on existing literature, the research identifies several limitations: the lack of focus on micro-scale AUVs, challenges in wireless RF control, and the need for advanced camera modules. By addressing these gaps, the study aims to optimize AUV performance in coral reef mapping. The methodology includes a comprehensive workflow, from conceptual design to deployment, emphasizing hardware and software development and experimental procedures. Results demonstrate AUV navigation, imaging, and communication systems, validated against existing studies. The discussion highlights the effectiveness of intelligent control strategies in improving AUV performance, suggesting potential improvements and future research directions.