Unmanned Surface
Unmanned surface vehicles (USVs) are autonomous robots operating on water, primarily aimed at improving efficiency and safety in various maritime tasks. Current research heavily focuses on enhancing USV autonomy through advanced control algorithms (like model predictive control and adaptive control), robust state estimation techniques incorporating sensor fusion (e.g., camera, radar, sonar), and improved navigation in challenging conditions (e.g., strong waves, GPS denial). This work is significant for advancing maritime operations, enabling applications such as environmental monitoring, search and rescue, and collaborative tasks with other unmanned systems (e.g., UAVs), ultimately leading to safer and more efficient maritime activities.
Papers
Aeolus Ocean -- A simulation environment for the autonomous COLREG-compliant navigation of Unmanned Surface Vehicles using Deep Reinforcement Learning and Maritime Object Detection
Andrew Alexander Vekinis, Stavros Perantonis
WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces
Shanliang Yao, Runwei Guan, Zhaodong Wu, Yi Ni, Zile Huang, Ryan Wen Liu, Yong Yue, Weiping Ding, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Jieming Ma, Xiaohui Zhu, Yutao Yue