Method for the contact-free axle counting of a vehicle (104, 106) on a roadway, wherein the method has the following steps: importing first image data and importing second image data, wherein the first image data and the second image data are provided to an interface (116, 216) of an image data recording sensor (112, 118) arranged to the side of the roadway, wherein the first image data and the second image data comprise an image of the vehicle (104, 106); processing the first image data and second image data, in order to obtain processed first image data and processed second image data, wherein, using the first image data and the second image data, at least one object is detected in the first image data and the second image data in a detection sub-step, and wherein as an object information representing the object and associated with the first image data and second image data is provided, and wherein, in a tracking sub-step, the at least one object is tracked over time using the object information in the image data (116, 216, 236, 238), and wherein, in a classification sub-step, the at least one object is identified and/or classified using the object information; and determining a number of axles (108, 110) of the vehicle (104, 106), and/or an association of the axles (108, 110) with stationary axles of the vehicle (104, 106) and rolling axles of the vehicle (104, 106), using the processed first image data and the processed second image data and the object information associated with the processed image data (236, 238), in order to count the axles (108, 110) of the vehicle (104, 106) without contact, characterized in that the processing step includes a stitching step, wherein, from the first image data and the second image data and first image data derived therefrom and second image data derived therefrom, and using the object information, at least two image data (116, 216, 236, 238) are merged and provided as first processed image data, and the processing step includes a homographic equalization step in which the image data (116, 216) and image data (236, 238) derived therefrom are homographically equalized using the object information and are provided as processed image data (236, 238), so that a side view of the vehicle (104, 106) in the processed image data (236, 238) is homographically equalized, and the processing step includes a motion blur analysis step using the first image data and the second image data and first image data derived therefrom and second image data derived therefrom and the object information, in order to associate shown axles with stationary axles of the vehicle and/or alternatively with rolling axles of the vehicle and provide them as object information. importing first image data and importing second image data, wherein the first image data and the second image data are provided to an interface (116, 216) of an image data recording sensor (112, 118) arranged to the side of the roadway, wherein the first image data and the second image data comprise an image of the vehicle (104, 106); processing the first image data and second image data, in order to obtain processed first image data and processed second image data, wherein, using the first image data and the second image data, at least one object is detected in the first image data and the second image data in a detection sub-step, and wherein as an object information representing the object and associated with the first image data and second image data is provided, and wherein, in a tracking sub-step, the at least one object is tracked over time using the object information in the image data (116, 216, 236, 238), and wherein, in a classification sub-step, the at least one object is identified and/or classified using the object information; and determining a number of axles (108, 110) of the vehicle (104, 106), and/or an association of the axles (108, 110) with stationary axles of the vehicle (104, 106) and rolling axles of the vehicle (104, 106), using the processed first image data and the processed second image data and the object information associated with the processed image data (236, 238), in order to count the axles (108, 110) of the vehicle (104, 106) without contact, characterized in that the processing step includes a stitching step, wherein, from the first image data and the second image data and first image data derived therefrom and second image data derived therefrom, and using the object information, at least two image data (116, 216, 236, 238) are merged and provided as first processed image data, and the processing step includes a homographic equalization step in which the image data (116, 216) and image data (236, 238) derived therefrom are homographically equalized using the object information and are provided as processed image data (236, 238), so that a side view of the vehicle (104, 106) in the processed image data (236, 238) is homographically equalized, and the processing step includes a motion blur analysis step using the first image data and the second image data and first image data derived therefrom and second image data derived therefrom and the object information, in order to associate shown axles with stationary axles of the vehicle and/or alternatively with rolling axles of the vehicle and provide them as object information.