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Quantitative analysis of COLREG rules and seamanship for autonomous collision avoidance at open sea

机译:对COLREG规则和航海技术进行定量分析,以防止公海自动避碰

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摘要

Ship collision avoidance is highly dependent upon seamanship and rules. When ship collision risk exists, proper collision avoidance actions must be taken according to the correct encounter situation and determined stage. All autonomous collision avoidance (ACA) operations in the future must comply with given rules and seamanship practices, which make the quantitative analysis of them prerequisites for ACA. This study presents a novel quantitative analysis system for the International Regulations for Preventing Collisions at Sea (COLREG) Rules and Seamanship. The proposed system consists of three parts: an encounter situation discrimination model based on the mutually relative bearing of the "target ship" (TS) and "own ship" (OS); a stage discrimination model representing the extent of collision risk per different domain models for every potential situation and a model to determine collision avoidance action per COLREG, seamanship, and ship maneuverability information was established accordingly. The collision avoidance plans appropriate for different situations and stages are generated based on the rules, seamanship, and rudder steering direction judgments. A simulation scenario was utilized to validate the effectiveness and feasibility of the system.
机译:避免撞船在很大程度上取决于航海技术和规则。当存在船舶碰撞风险时,必须根据正确的遭遇情况和确定的阶段采取适当的避撞措施。将来,所有自动避碰(ACA)操作都必须遵守给定的规则和船务规范,这使得对其进行定量分析成为ACA的前提。这项研究为《国际海上避碰规则》(COLREG)规则和船员提出了一种新颖的定量分析系统。所提出的系统包括三个部分:基于“目标船”(TS)和“本船”(OS)的相互相对方位的遭遇状况识别模型;以及相应地建立了一个阶段判别模型,该模型代表了每种潜在情况下每个不同领域模型的碰撞风险程度,并相应地确定了根据COLREG,海事技术和船舶操纵性信息确定避免碰撞行为的模型。根据规则,航海技术和方向舵转向判断,生成适合于不同情况和阶段的防撞计划。仿真场景被用来验证系统的有效性和可行性。

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