Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey

OCEAN ENGINEERING

卷:235

Article

Zhang, Xinyu¹  Wang, Chengbo¹  Jiang, Lingling²  An, Lanxuan¹  Yang, Rui³ 

[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China

[2] Dalian Maritime Univ, Coll Environm Sci & Engn, Dalian 116026, Peoples R China

[3] China Waterborne Transport Res Inst, Shipping Technol Res Ctr, Beijing 100088, Peoples R China

关键词: Collision avoidance;    Autonomous navigation systems;    Cognitive navigation;    e-navigation;    Maritime autonomous surface ships;   

DOI  :  10.1016/j.oceaneng.2021.109380

来源: Elsevier

【 摘 要 】

The rapid development of artificial intelligence significantly promotes collision-avoidance navigation of maritime autonomous surface ships (MASS), which in turn provides prominent services in maritime environments and enlarges the opportunity for coordinated and interconnected operations. Clearly, full autonomy of the collisionavoidance navigation for the MASS in complex environments still faces huge challenges and highly requires persistent innovations. First, we survey relevant guidance of the International Maritime Organization (IMO) and industry code of each country on MASS. Then, major advances in MASS industry R&D, and collision-avoidance navigation technologies, are thoroughly overviewed, from academic to industrial sides. Moreover, compositions of collision-avoidance navigation, brain-inspired cognitive navigation, and e-navigation technologies are analyzed to clarify the mechanism and principles efficiently systematically in typical maritime environments, whereby trends in maritime collision-avoidance navigation systems are highlighted. Finally, considering a general study of existing collision avoidance and action planning technologies, it is pointed out that collision-free navigation would significantly benefit the integration of MASS autonomy in various maritime scenarios.

【 授权许可】

Free