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.