摘要
针对现有船舶交通管理系统及被动防船撞装置在内河通航桥梁防撞的局限性,以及解决水运交通快速发展与船、桥相撞事故频发矛盾的迫切性,利用红外和可见光成像探测的互补性,建立了桥梁防船撞主动预警系统,提出了基于多特征自适应融合跟踪的航迹预测Kalman滤波方法。研究结果表明:基于红外/可见光/激光复合探测及多源数据融合方法可以实现桥梁防船撞主动预警,该方法能够与桥梁被动防撞系统构成更完整的系统,减少船撞桥概率及船撞桥损失。
There is limitation in present vessel traffic management system and passive anti-ship- collision device of the inland river bridge collision avoidance system. Based on complementarity of the infrared and visual camera after target detection, an active early-warning system for bridge piers against ship collision was designed. A Kalman algorithm for ship trajectory prediction based on fusion tracking was proposed. The result shows that this active early-warning system for bridge piers against ship collision combines the advantages of the infrared and visual camera, laser composite detection and multisouree data fusion algorithm. The active system combined with the passive warning system can better protect the bridge piers against ship collision, and reduce the probability of ship-bridge collision accidents.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2012年第6期94-100,共7页
China Journal of Highway and Transport
基金
国家自然科学基金项目(60904096)
上海市企业技术中型能力建设项目(沪创新J08-26)
关键词
桥梁工程
桥梁防船撞系统
试验分析
主动预警系统
航迹预测
多源数据融合
bridge engineering
system for bridge pier against ship collision
experimental analy-sis
active early-warning system
ship trajectory prediction
multisource data fusion
