期刊文献+

控制河段船舶违规航行检测方法 被引量:2

Method to detect illegal navigation in controlled waterway
下载PDF
导出
摘要 长江上游控制河段狭窄、弯曲,为确保航道畅通和行轮安全,行轮必须根据信号台的通行指挥信号,单向、有序通过。一旦行轮未遵守通行指挥信号违规航行,极易发生船舶碰撞甚至搁浅等海事事故。基于AIS、视频监控和通行指挥信号提出一种控制河段船舶违规航行的检测方法,通过消除船舶倒影和拖尾水纹等噪声干扰,对船舶目标进行检测,通过多个摄像头轮流采集图像,实现多视场下跟踪船舶航迹;最后结合控制河段的通行规则,对违规航行行为进行判别。结果表明,该方法可对控制河段中违规航行船舶进行准确判别。 Controlled waterways are special areas in the upper Yangtze River with narrow channels and sharp corners.Ships need to be sequenced and scheduled by the intelligent traffic signaling system to pass through the controlled waterways and are allowed to pass in one direction at a time for the safety reason.If the ships do not obey traffic command signal during the voyage , the disastrous nautical accidents such as collision, stranding of the ships will be more likely to occur.This paper proposes a new approach to detect illegal navigation based on AIS, the video detection system and the traffic regulations. Firstly, the ships are identified by eliminating the background noises. After that, several cameras are used to track the ships trajectories in different scenarios.Finally, the illegal ships are estimated according to the traffic regulations of the ships on the Yangtze River. The experiment result confirms the effectiveness and efficiency of the proposed method.
作者 毕方全
机构地区 长江重庆航道局
出处 《水运工程》 北大核心 2017年第6期168-173,共6页 Port & Waterway Engineering
关键词 控制河段 违规航行 视觉 目标检测 跟踪 controlled waterway illegal navigation vision target detection tracking
  • 相关文献

参考文献7

二级参考文献58

  • 1陈波,杨阳,沈田双.一种基于不变矩和SVM的图像目标识别方法[J].仪器仪表学报,2006,27(z3):2093-2094. 被引量:11
  • 2王敏,吴向军,王书基.匀速或匀加速运动目标的位置预测问题的分析[J].船舶工程,1995(3):40-48. 被引量:5
  • 3刘健,刘高峰.高斯-克吕格投影下的坐标变换算法研究[J].计算机仿真,2005,22(10):119-121. 被引量:38
  • 4寇连坡.AIS船位信息产生误差的原因与对策[J].世界海运,2006,29(6):8-9. 被引量:5
  • 5S. E. Manen. Ship Collisions Due to the Presence of Brideges[M]. Brussels: PIANC General Secretariat, 2001.
  • 6G. R. Consolazio, D. R. Cowan. Numerically efficient dynamic analysis of barge collisions with bridge piers[J]. Journal of Structural Engineering, 2005, 131(8): 1 256- 1 266.
  • 7W. Fan, W. C. Yuan, Q. W. Fan. Calculation method of ship collision force on bridge using artificial neural network[J]. Journal of Zhejiang University : Science A, 2008, 9(5) :614 - 623.
  • 8J. K. Paik, S. K. Lee. Risk evaluation for sloping-slipway launched ships against collisions with bridge located near the shipyard[J]. Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, 2008, 150(1):9 -18.
  • 9P. Dirk, C. Manfred. Risk to historical bridges due to ship impact on German inland waterwaysEJ3. Reliability Engineering and System Safety, 2005, 90(2) : 261 -270.
  • 10A. Miele, T. Wang. Optimal trajectories and guidance schemes for ship collision avoidance[J]. Journal of Optimization Theory and Applications, 2006, 129( 1 ) : 1 - 21.

共引文献73

同被引文献26

引证文献2

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部