无人船艇作为一种新兴船舶，不论在军事领域还是商业领域都具有非常重要的价值。本文的研究方向是水面无人船目标检测技术开发，分别介绍了毫米波雷达目标探测技术和计算机视觉目标识别技术的原理，基于2种目标探测手段，开发一种基于信息融合的水面船舶目标检测技术，从时间配准和空间配准等方面进行详细阐述。
As a new kind of ship, unmanned ship has very important value in both military and commercial fields. The research direction of this paper is the development of ship target detection technology for surface unmanned ships. The principles of millimeter wave radar target detection technology and computer vision target recognition technology are introduced respectively. Based on the two target detection methods, a surface ship target detection technology based on information fusion is developed, which is described in detail from the aspects of time registration and space registration.
2022,44(19): 134-137 收稿日期：2022-04-02
DOI：10.3404/j.issn.1672-7649.2022.19.026
分类号：U655.24
作者简介：包琳(1978-)，男，硕士，高级实验师，研究方向为教育技术及信息技术
参考文献：
[1] 王萍. 基于数据特征的在线健康社区信息融合模式研究[J]. 现代情报, 2022, 42(8): 28–36+167
WANG Ping. Research on Information Fusion Mode of Online Healthy Community Based on Data Characteristics[J]. Modern Intelligence, 2022, 42(8): 28–36+167
[2] 赵海萍. 无线传感器网络中的可靠信息融合模型研究[J]. 微型电脑应用, 2022, 38(7): 121–123+153
ZHAO Hai-ping. Research on Reliable Information Fusion Model in Wireless Sensor Networks[J]. Microcomputer Application, 2022, 38(7): 121–123+153
[3] 张付东. 基于人工智能与多传感器信息融合的电缆火灾预警算法[J]. 电子设计工程, 2022, 30(6): 86–90.
ZHANG Fu-dong. Cable fire early warning algorithm based on artificial intelligence and multi-sensor information fusion [J]. Electronic Design Engineering, 2022, 30(6): 86–90.
