The rapid development of artificial intelligence significantly promotes collision-avoidance navigation of maritime autonomous surface ships (MASS), which in turn provide prominent services in maritime environments and enlarge the opportunity for coordinated and interconnected operations. Clearly, full autonomy of the collision-avoidance navigation for the MASS in complex environments still faces huge challenges and highly requires persistent innovations. In this chapter, major advances in state-of-the-art autonomous maritime vessels and systems, and collision avoidance technologies, are thoroughly addressed in various maritime scenarios, from academic to industrial sides. Moreover, compositions of autonomous navigation and E-navigation technologies are analyzed to efficiently systematically clarify the mechanism and principles in typical maritime environments, whereby trade-off between autonomy and navigation action are highlighted. Finally, in light of overview of promising collision avoidance and action planning technologies, it is pointed out that collision-free navigation would significantly benefits the integration of MASS autonomy in various maritime scenarios.


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    Title :

    Survey on Collision-Avoidance Navigation of Maritime Autonomous Surface Ships


    Additional title:

    Offshore Robotics


    Contributors:
    Su, Shun-Feng (editor) / Wang, Ning (editor) / Wang, Chengbo (author) / Wang, Ning (author) / Xie, Guangming (author) / Su, Shun-Feng (author)

    Published in:

    Offshore Robotics ; Chapter : 1 ; 1-33


    Publication date :

    2021-10-19


    Size :

    33 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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