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Application of A* algorithm for real-time path re-planning of an unmanned surface vehicle avoiding underwater obstacles 总被引:1,自引:0,他引:1
Thanapong Phanthong Toshihiro Maki Tamaki Ura Takashi Sakamaki Pattara Aiyarak 《船舶与海洋工程学报》2014,13(1):105-116
This paper describes path re-planning techniques andunderwater obstacle avoidance for unmanned surface vehicle (USV)based on multi-beam forward looking sonar (FLS). Near-optimalpaths in static and dynamic environments with underwaterobstacles are computed using a numerical solution procedure basedon an A algorithm. The USV is modeled with a circular shape in 2degrees of freedom (surge and yaw). In this paper, two-dimensional(2-D) underwater obstacle avoidance and the robust real-time pathre-planning technique for actual USV using multi-beam FLS aredeveloped. Our real-time path re-planning algorithm has beentested to regenerate the optimal path for several updated frames inthe field of view of the sonar with a proper update frequency of theFLS. The performance of the proposed method was verifiedthrough simulations, and sea experiments. For simulations, theUSV model can avoid both a single stationary obstacle, multiplestationary obstacles and moving obstacles with the near-optimaltrajectory that are performed both in the vehicle and the worldreference frame. For sea experiments, the proposed method for anunderwater obstacle avoidance system is implemented with a USVtest platform. The actual USV is automatically controlled andsucceeded in its real-time avoidance against the stationary underseaobstacle in the field of view of the FLS together with the GlobalPositioning System (GPS) of the USV. 相似文献
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德国声纳技术发展100年 总被引:1,自引:0,他引:1
德国是世界上潜艇建造的主要国家,在100年中以阿特拉斯公司为中心的声纳研制技术人员取得了一系列的成果,根据该公司皮得.维勒教授近期所做的报告及相关资料编译。 相似文献
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测量是疏浚施工的重要组成部分,是确定施工方案、控制和检验施工质量的主要依据。传统的疏浚测量无法由挖泥船自身完成,存在成本高、周期长、时效性不强等问题。文章主要研究根据船舶结构和施工特点,在绞吸挖泥船上增设实时测量系统,实现船舶疏浚施工与工程测量同步,同时完成施工浚前、浚中和浚后水深数据的测量,结合软件运算实现施工质量的实时控制,达到指导施工、提高施工质量的目的。 相似文献
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水下三维声纳目标在线运动监测与识别 总被引:1,自引:0,他引:1
随着声学探测在海洋资源开发中的广泛应用,水声成像技术已成为水下目标监测的重要手段,文章提出了一种基于三维声纳技术的在线运动目标识别方法。通过对三维声学图像进行网格搜索和三角面片连接,进行单帧三维声学图像的多层实时重建,实现单帧图像内目标的重建、聚类与标示。结合GPS定位仪和姿态仪信息,修正位移和姿态变化引起的运动误差,利用反向投影和最近点搜索方法查找相邻图像帧之间两两匹配的控制点对,进行相邻图像帧的快速配准。根据配准矩阵将相邻图像帧的的各个目标转换到同一全局坐标系中,提取有效的声学目标特征变化相对值,并评估特征权重,实现相邻图像帧之间运动目标的在线检测与识别。通过室内水池和湖试实验,结果表明该方法能有效地实现三维声学图像在线运动目标实时识别。 相似文献
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