Forward Looking Sonar

Forward-looking sonar (FLS) systems generate high-resolution images of the underwater environment, overcoming limitations of poor visibility and lighting. Current research focuses on improving 3D object modeling from FLS data, addressing challenges like multipath reflections and developing robust feature detection methods for automated object recognition and navigation. These advancements leverage techniques such as neural volume rendering, self-supervised learning, and optimization algorithms to enhance accuracy and efficiency in applications like bathymetric surveying, autonomous underwater vehicle (AUV) navigation, and underwater inspection. The resulting improvements in underwater perception have significant implications for scientific exploration, commercial operations, and robotic autonomy.