Method for detecting a braking application of a vehicle, comprising the steps: Providing a first image of a traffic situation in an environment, the first image comprising information about the vehicle in the environment; Detecting a first section within the first image, the first section covering the vehicle in the first image; Defining a first image part and a second image part within the first section, wherein the first image part covers a first illumination unit of the vehicle and the second image part covers a second illumination unit of the vehicle (30, S2); Providing a second image of the traffic situation in the environment, the second image being provided after the first image is provided, Detecting a second section within the second image, the second section covering the vehicle in the second image; Defining a first image part and a second image part within the second section, wherein the first image part covers the first illumination unit of the vehicle and the second image part covers the second illumination unit of the vehicle; Dividing the first image parts and the second image parts into a plurality of subzones, wherein some of the plurality of subzones within each first image part cover the first illumination unit and some of the plurality of subzones within each second image part cover the second illumination unit; Determining a change of a light intensity of the first illumination unit and second illumination unit based on the defined image parts (12a, 12b, S3); Determining the change of the light intensity of the first illumination unit and second illumination unit based on a comparison between the first image and the second image. Identifying a braking application based on the determined change of the light intensity; and Verifying the braking application of the vehicle using symmetry information of the first image parts and the second image parts (12b, S5) wherein an average light intensity in each of the subzones is calculated such that the braking application of the vehicle is verified based on a symmetric change of the average light intensity of each of the subzones (16, S5). Providing a first image of a traffic situation in an environment, the first image comprising information about the vehicle in the environment; Detecting a first section within the first image, the first section covering the vehicle in the first image; Defining a first image part and a second image part within the first section, wherein the first image part covers a first illumination unit of the vehicle and the second image part covers a second illumination unit of the vehicle (30, S2); Providing a second image of the traffic situation in the environment, the second image being provided after the first image is provided, Detecting a second section within the second image, the second section covering the vehicle in the second image; Defining a first image part and a second image part within the second section, wherein the first image part covers the first illumination unit of the vehicle and the second image part covers the second illumination unit of the vehicle; Dividing the first image parts and the second image parts into a plurality of subzones, wherein some of the plurality of subzones within each first image part cover the first illumination unit and some of the plurality of subzones within each second image part cover the second illumination unit; Determining a change of a light intensity of the first illumination unit and second illumination unit based on the defined image parts (12a, 12b, S3); Determining the change of the light intensity of the first illumination unit and second illumination unit based on a comparison between the first image and the second image. Identifying a braking application based on the determined change of the light intensity; and Verifying the braking application of the vehicle using symmetry information of the first image parts and the second image parts (12b, S5) wherein an average light intensity in each of the subzones is calculated such that the braking application of the vehicle is verified based on a symmetric change of the average light intensity of each of the subzones (16, S5).