Underwater Localization

Underwater localization focuses on accurately determining the position of underwater vehicles (AUVs, ROVs, and UUVs), crucial for tasks like mapping, inspection, and autonomous navigation. Current research emphasizes robust solutions for challenging environments with limited infrastructure, employing diverse methods such as sonar-based positioning (often incorporating particle filters), integration of data from multiple sensors (e.g., DVL-INS with laser or acoustic aiding), and innovative approaches using aerial imagery or machine learning (e.g., convolutional neural networks for direct localization). These advancements are vital for improving the efficiency and reliability of underwater operations across various fields, including aquaculture, environmental monitoring, and subsea infrastructure maintenance.