本文提出一种激光点云与立体视觉深度感知融合下的船舶自动靠离泊控制方法。首先,通过高精度相机与激光雷达联合标定,建立图像像素坐标系与激光雷达坐标系的转换关系;然后,采用椭圆形关联门和全局最近邻匹配算法实现跨模态目标关联,确保靠离泊目标的精确位置;最后,针对船舶欠驱动特性,设计了纵向速度、横向速度和转航速度的增量式PID控制器,结合推力分配策略动态调整推进器参数,以应对复杂水动力环境的影响。实验结果表明,本文方法在目标匹配准确率有效提高,控制效果有效提升了船舶靠离泊的自动化水平和安全性。
This article proposes an automatic berthing and disembarking control method for ships based on the fusion of laser point cloud and stereoscopic vision depth perception. Firstly, through the joint calibration of high-precision cameras and LiDAR, the conversion relationship between the image pixel coordinate system and the LiDAR coordinate system is established. Then, the elliptical correlation gate and global nearest neighbor matching algorithm are used to achieve cross modal target correlation, ensuring the accurate position of the berthing target. Finally, in response to the underactuated characteristics of ships, an incremental PID controller was designed for longitudinal speed, lateral speed, and turning speed. The thruster parameters were dynamically adjusted using a thrust allocation strategy to cope with the impact of complex hydrodynamic environments. The experimental findings demonstrate that the method presented in this paper yields a significant enhancement in the accuracy of target matching, and the control effect effectively enhances the automation level and safety of ship berthing and disembarking.
2026,48(5): 139-145 收稿日期:2025-8-27
DOI:10.3404/j.issn.1672-7649.2026.05.022
分类号:U675.921
基金项目:2025年上海市发改委服务业发展引导资金项目(01132025111)
作者简介:闻鸣(1981-),男,研究员,研究方向为智慧码头
参考文献:
[1] 史峻侨, 刘程, 郭玮丽, 等. 基于神经动态优化与模型预测控制的欠驱动船舶精确路径跟踪[J]. 中国舰船研究, 2025, 20(1): 203-212
SHI J Q, LIU C, GUO W L, et al. Precise path following of underactuated ship based on neurodynamic optimization and model predictive control[J]. Chinese Journal of Ship Research, 2025, 20(1): 203-212
[2] 张笛, 万程鹏, 艾云飞, 等. 船舶航行安全主动控制技术研究及展望[J]. 中国航海, 2025, 48(2): 1-9
ZHANG D, WAN C P, AI Y F, et al. Research and prospect of active control technology for ship navigation safety[J]. China Navigation, 2025, 48(2): 1-9
[3] 郎祺, 徐海祥, 余文曌, 等. 基于改进自适应控制分配的船舶推进器故障容错控制[J]. 中国舰船研究, 2025, 20(1): 289-299
LANG Q, XU H X, YU W Z, et al. Fault-tolerant control for ships with thruster faults based on improved adaptive control allocation[J]. Chinese Journal of Ship Research, 2025, 20(1): 289-299
[4] 蒋正帅, 张强, 陈磊. 基于粗-精立体匹配的激光焊接机器人三维视觉定位研究[J]. 激光杂志, 2023, 44(9): 227-232
JIANG Z S, ZHANG Q, CHEN L. Research on three-dimensional visual positioning of laser welding robot based on coarse-refined three-dimensional matching[J]. Laser Journal, 2023, 44(9): 227-232
[5] 吴兵, 苏鑫, 刘佳仑. 限制水域智能船舶安全航速自适应控制方法[J]. 哈尔滨工程大学学报, 2025, 46(7): 1349-1356
WU B, SU X, LIU J L. Adaptive control method for safe speed of intelligent ships in restricted waters[J]. Journal of Harbin Engineering University, 2025, 46(7): 1349-1356
[6] 崔源, 徐增勇. 基于PLC嵌入式技术的船舶航行自动控制系统设计[J]. 舰船科学技术, 2025, 47(6): 158-161
CUI Y, XU Z Y. Design of ship navigation automatic control system based on PLC embedded technology[J]. Ship Science and Technology, 2025, 47(6): 158-161
[7] 熊勇, 周思文, 王显飞, 等. 数据驱动的船舶航迹跟踪控制方法研究[J]. 中国舰船研究, 2025, 20(1): 232-246
XIONG Y, ZHOU S W, WANG X F, et al. Research on data-driven ship trajectory tracking control method[J]. Chinese Journal of Ship Research, 2025, 20(1): 232-246
[8] 李诗杰, 刘泰序, 刘佳仑, 等. 基于MPC-IMFAC的船舶路径跟随控制方法研究[J]. 中国舰船研究, 2025, 20(1): 317-325
LI S J, LIU T X, LIU J L, et al. Research on ship path following control method based on MPC-IMFAC[J]. Chinese Journal of Ship Research, 2025, 20(1): 317-325
[9] 杨苗苗, 尚大帅, 高雪梅, 等. 高分十四号卫星立体影像与ICESat-2激光测高数据联合平差[J]. 地球科学与环境学报, 2024, 46(6): 843-852
YANG M M, SHANG D S, GAO X M, et al. Joint adjustment of stereo images from Gaofen-14 satellite and ICESat-2 laser altimetry data[J]. Journal of Earth Sciences and Environment, 2024, 46(6): 843-852
[10] 王宗伟, 陆敏燕, 范仪琳. 联合激光点云与立体卫星影像的露滩地区精准测绘[J]. 自然资源遥感, 2024, 36(4): 135-141
WANG Z W, LU M Y, FAN Y L. Accurate mapping of exposed beach areas using combined laser point clouds and stereo satellite imagery[J]. Remote Sensing for Natural Resources, 2024, 36(4): 135-141
[11] 赵威, 贾凌翰, 宿磊磊, 等. 变工况下喷水推进船舶混合控制技术研究[J]. 舰船科学技术, 2025, 47(2): 35-40
ZHAO W, JIA L H, SU L L, et al. Research on hybrid control technology for waterjet propulsion ships under variable operating conditions[J]. Ship Science and Technology, 2025, 47(2): 35-40
[12] 陈兴华, 韩旭, 刘彩云, 等. 基于有限时间指令滤波反步法的船舶动力定位自适应控制[J]. 船舶力学, 2025, 29(4): 547-559
CHEN X H, HAN X, LIU C Y, et al. Adaptive control of ship dynamic positioning based on finite time instruction filtering backstepping method[J]. Journal of Ship Mechanics, 2025, 29(4): 547-559