运动规划
势场
避碰
路径(计算)
功能(生物学)
领域(数学)
计算机科学
模拟
碰撞
工程类
控制工程
运筹学
人工智能
机器人
计算机安全
数学
进化生物学
生物
地质学
程序设计语言
纯数学
地球物理学
作者
Hongguang Lyu,Yong Yin
出处
期刊:Journal of Navigation
[Cambridge University Press]
日期:2018-11-16
卷期号:72 (3): 588-608
被引量:285
标识
DOI:10.1017/s0373463318000796
摘要
This paper presents a real-time and deterministic path planning method for autonomous ships or Unmanned Surface Vehicles (USV) in complex and dynamic navigation environments. A modified Artificial Potential Field (APF), which contains a new modified repulsion potential field function and the corresponding virtual forces, is developed to address the issue of Collision Avoidance (CA) with dynamic targets and static obstacles, including emergency situations. Appropriate functional and safety requirements are added in the corresponding virtual forces to ensure International Regulations for Preventing Collisions at Sea (COLREGS)-constrained behaviour for the own ship's CA actions. Simulations show that the method is fast, effective and deterministic for path planning in complex situations with multiple moving target ships and stationary obstacles and can account for the unpredictable strategies of other ships. The authors believe that automatic navigation systems operated without human interaction could benefit from the development of path planning algorithms.
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