Underwater Environment
Underwater environment research focuses on developing robust and efficient methods for exploration, mapping, and object manipulation in challenging aquatic settings. Current efforts concentrate on improving autonomous underwater vehicle (AUV) navigation and perception using advanced computer vision techniques (e.g., convolutional neural networks, transformers, and deep unfolding networks), acoustic sensing, and innovative robotic designs (e.g., biomimetic robots, soft robots). These advancements are crucial for various applications, including search and rescue, environmental monitoring, and infrastructure inspection, ultimately enhancing our understanding and interaction with the underwater world.
Papers
KUNPENG: An Embodied Large Model for Intelligent Maritime
Naiyao Wang, Tongbang Jiang, Ye Wang, Shaoyang Qiu, Bo Zhang, Xinqiang Xie, Munan Li, Chunliu Wang, Yiyang Wang, Hongxiang Ren, Ruili Wang, Hongjun Shan, Hongbo Liu
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset
Yongjin Kim, Jinbum Park, Sanha Kang, Hanguen Kim