Autonomous Surface Vehicle

Autonomous surface vehicles (ASVs) are unmanned boats designed for various tasks, primarily focused on improving efficiency and safety in maritime operations, such as environmental monitoring and cargo transport. Current research emphasizes robust navigation in challenging environments using deep reinforcement learning (DRL) and advanced perception techniques, including multi-modal data fusion and novel neural network architectures like CNN-LSTMs and transformer-based networks for obstacle detection. These advancements are significant for improving the autonomy and reliability of ASVs, leading to wider adoption in applications ranging from environmental monitoring to infrastructure inspection and potentially revolutionizing maritime industries.