1. A vehicle searching method, characterized in that it comprises: obtaining a first image of a target vehicle; extracting a first appearance visual feature of the target vehicle from the first image; extracting a second appearance visual feature of the searched vehicle respectively from several second images; wherein, the second images are the images stored in a vehicle monitoring image database; calculating an appearance similarity distance between the first image and each of the second images according to the first appearance visual feature and each of the second appearance visual features; selecting several images from the several second images as several third images; determining a first license plate area in the first image and a second license plate area in each of the third images; obtaining a first license plate feature corresponding to the first license plate area and a second license plate feature corresponding to each of the second license plate areas by inputting the first license plate area and each of the second license plate areas respectively into a preset Siamese neural network model; calculating a license plate feature similarity distance between the first image and each of the third images according to the first license plate feature and each of the second license plate features; calculating a visual similarity distance between the first image and each of the third images according to the appearance similarity distance and the license plate feature similarity distance; obtaining a first search result of the target vehicle by arranging the several third images in an ascending order of the visual similarity distances.