基于传感器融合的海上目标检测综述  

A Survey of Marine Target Detection Based on Sensor Fusion

作　　者：李永国[1,2] 徐彩银 汤璇 李祥燕 LI Yongguo;XU Caiyin;TANG Xuan;LI Xiangyan(School of Engineering,Shanghai Ocean University,Shanghai 201306,China;Shanghai Marine Renewable Energy Engineering Technology Research Center,Shanghai 201306,China)

机构地区：[1]上海海洋大学工程学院,上海201306 [2]上海海洋可再生能源工程技术研究中心,上海201306

出　　处：《世界科技研究与发展》2023年第2期189-199,共11页World Sci-Tech R&D

基　　金：国家自然科学基金面上项目“基于磁流体发电原理的海洋可再生能源利用中的基础问题研究”(51876114);上海市科学技术委员会资助项目“上海海洋可再生能源工程技术研究中心”(19DZ2254800)。

摘　　要：目标检测技术是一种基于目标几何和统计特征的图像分割。我国海洋领域广阔、海洋资源丰富,开展海上目标检测研究意义深远。基于传感器融合的海上目标检测方法是监视海运交通、维护海洋权益的一种高效手段。本文首先给出传感器融合检测的研究意义和该领域存在的挑战,然后梳理归纳了三种传感器融合方法,包括:多雷达融合检测方法、多相机融合检测方法和相机雷达融合检测方法;接着给出这几种融合方法在不同场景下的检测效果,并介绍了这几种融合方法存在的局限性;同时展望了传感器融合在海上目标检测的未来发展方向,如检测信息传输在海上抗干扰能力的提升、多目标检测性能的优化,以及将深度学习应用在传感器融合检测等。Object detection technology is an image segmentation based on objects’geometric and statistical features.My country has a vast marine field and rich marine resources,and it is of far-reaching significance to carry out research on marine target detection.The marine target detection method based on sensor fusion efficiently monitors marine traffic and maintains marine rights and interests.This paper first presents the research significance of sensor fusion detection and the challenges in this field and then summarizes three sensor fusion methods,including the multi-radar fusion detection method,multi-camera fusion detection method,and camera-radar fusion detection method;The detection effects of these fusion methods in different scenarios are introduced,and the limitations of these fusion methods are introduced.At the same time,the future development direction of sensor fusion in marine target detection prospected,Such as the improvement of the anti-interference ability of detection information transmission at sea,the optimization of multi-target detection performance,and the application of deep learning in sensor fusion detection.

关 键 词：海上目标检测 融合方法 多相机融合 多雷达融合 相机雷达融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]