基于JPDA的智能船舶多源信息融合技术研究
|
摘要
智能船舶领域正在不断发展,智能船舶技术的兴起推动着船舶智能化、无人化成为船舶航运的主流趋势,而智能船舶多源信息融合技术是智能船舶在智能安全航行中的关键核心技术之一,智能船舶集成系统能够为智能船舶自主航行提供决策和控制信息,因此智能船舶集成系统的多源信息融合已经成为智能船舶自主航行发展急需解决的问题,本文的智能船舶集成系统可接入多个或多种传感器上传的实时信息,利用基于改进的JPDA算法的智能船舶多源信息融合技术,来处理多源信息冗余度和提高多源信息精准度,以实现并增强智能船舶自主航行的安全性和可靠性。
In recent years, intelligent ship is developing continuously, the rise of intelligent ship technology driving the ship intelligent, unmanned became the mainstream trend of marine shipping. Intelligent multi-source information fusion technology is intelligent ship one of the key core technology in intelligent security. Intelligent ship integrated system can provide decision-making for independent intelligent ship navigation and control information. As a result, intelligent ship integrated system of multi-source information fusion has become intelligent ship the urgent problems in the development of autonomous navigation. In this paper, the intelligent ship integrated system can access more than one or multiple sensors to upload real-time information. Based on the improved JPDA algorithm of intelligent ship multi-source information fusion technology, to deal with multiple source information redundancy and improve precision multi-source information. In order to realize and improve the intelligent autonomous navigation safety and reliability of the ship.
In recent years, intelligent ship is developing continuously, the rise of intelligent ship technology driving the ship intelligent, unmanned became the mainstream trend of marine shipping. Intelligent multi-source information fusion technology is intelligent ship one of the key core technology in intelligent security. Intelligent ship integrated system can provide decision-making for independent intelligent ship navigation and control information. As a result, intelligent ship integrated system of multi-source information fusion has become intelligent ship the urgent problems in the development of autonomous navigation. In this paper, the intelligent ship integrated system can access more than one or multiple sensors to upload real-time information. Based on the improved JPDA algorithm of intelligent ship multi-source information fusion technology, to deal with multiple source information redundancy and improve precision multi-source information. In order to realize and improve the intelligent autonomous navigation safety and reliability of the ship.
引文
[1]吴笑风,张郑海.基于信息流视角的智能船舶系统模型[J].舰船科学技术,2016,38(10):14-19.
[2]周剑敏,王捷.基于AIS数据的智能船舶动态视频监控系统设计[J].上海海事大学学报,2009(30):14-18.
[3]贾锐,曹凯.浅析智能船舶系统[J].船舶标准化与质量,2016(1):36-40.
[4]柳晨光,初秀民,谢朔,等.船舶智能化研究现状与展望[J].船舶工程,2016(3):77-84.
[5]巴宏欣,赵宗贵,杨飞,等.多传感器多目标跟踪的JPDA算法[J].系统仿真学报,2004(16):1563-1566.
[6]兰艳亭.多传感器数据融合跟踪算法研究[D].太原:太原中北大学,2006.
[7]李圣怡,吴学忠,范大鹏.多传感器融合理论及在智能制造系统中的应用[M].长沙:国防科技大学出版社,1998.
[8]李洪志.信息融合技术[M].北京:国防工业出版社,1996.
[9]刘同明,夏祖勋,解洪成.数据融合技术及其应用[M].北京:国防工业出版社,1998.
[10]苏惠敏.多传感器信息融合方法与研究[D].北京:北京航空航天大学,1998.
[11]何友,王国宏,彭应宁,等.多传感器信息融合及其应用[M].北京:电子工业出版社,2000.
[12]E WALTZ,J LLINAS.Multisensor data fusion[J].Artech House,Norwood,Massachusetts,1990.
[2]周剑敏,王捷.基于AIS数据的智能船舶动态视频监控系统设计[J].上海海事大学学报,2009(30):14-18.
[3]贾锐,曹凯.浅析智能船舶系统[J].船舶标准化与质量,2016(1):36-40.
[4]柳晨光,初秀民,谢朔,等.船舶智能化研究现状与展望[J].船舶工程,2016(3):77-84.
[5]巴宏欣,赵宗贵,杨飞,等.多传感器多目标跟踪的JPDA算法[J].系统仿真学报,2004(16):1563-1566.
[6]兰艳亭.多传感器数据融合跟踪算法研究[D].太原:太原中北大学,2006.
[7]李圣怡,吴学忠,范大鹏.多传感器融合理论及在智能制造系统中的应用[M].长沙:国防科技大学出版社,1998.
[8]李洪志.信息融合技术[M].北京:国防工业出版社,1996.
[9]刘同明,夏祖勋,解洪成.数据融合技术及其应用[M].北京:国防工业出版社,1998.
[10]苏惠敏.多传感器信息融合方法与研究[D].北京:北京航空航天大学,1998.
[11]何友,王国宏,彭应宁,等.多传感器信息融合及其应用[M].北京:电子工业出版社,2000.
[12]E WALTZ,J LLINAS.Multisensor data fusion[J].Artech House,Norwood,Massachusetts,1990.