Robots are increasingly used in subsea environments because of their positive impact on human safety and operational capabilities in the deep ocean. However, achieving full autonomy remains challenging because of the extreme conditions they encounter. In this context, we propose an autonomous underwater architecture for long-term deep-ocean inspection that robustly plans … [Read more...] about Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture
Underwater navigation
WaterFormer: A Global–Local Transformer for Underwater Image Enhancement With Environment Adaptor
Underwater image enhancement (UIE) is crucial for high-level vision in underwater robotics. While convolutional neural networks (CNNs) have made significant achievements in UIE, the locality of convolution poses a challenge in capturing the global context. In contrast, transformer-based networks, adept at handling long-range dependencies, have shown promise in various vision … [Read more...] about WaterFormer: A Global–Local Transformer for Underwater Image Enhancement With Environment Adaptor
