The research goal of this paper is to redesign a feature pattern for extracting feature points to meet the needs of long-distance visual positioning. Similar to the two-dimensional code, the feature pattern in this paper is also composed of black blocks, but the number of arrangements is relatively small. the black blocks have continuity, which greatly reduces the resolution requirements, and the template matching algorithm is used to identify them, and the similarity rate is 80% to identify the definition in the text, and the comparison experiment is used in the experiment. In the same environment and shooting distance, the effective recognition distance of the characteristic pattern is 225% higher than that of the QR code. Under the size of 30*30cm, the longest recognition distance reaches 90m, and in the robustness experiment A variety of interference processing is carried out on the characteristic pattern and all of them can be identified, showing sufficient anti-interference ability, and suitable for outdoor applications. Therefore, the characteristic pattern proposed in this paper can basically meet the needs of long-distance visual positioning, and is very suitable for application in vehicles. Visual positioning.