Method for determining a highly accurate position of, and for operating , an automated vehicle , comprising the following steps: - detecting environment data values, wherein the environment data values represent an environment of the automated vehicle , wherein the environment comprises at least two environment features , wherein the at least two environment features are configured as light sources and the pattern is determined by a colour profile and/or a brightness profile of the at least two environment features being determined; - determining a pattern, depending on the at least two environment features ; - reading in map data values, wherein the map data values represent a map, wherein the map represents at least the environment of the automated vehicle , wherein the map comprises a reference pattern, wherein the map comprises the reference pattern depending on a time of day and/or depending on a season and/or depending on a weather situation; - determining the highly accurate position of the automated vehicle , proceeding from a comparison of the pattern with the reference pattern by variables such as lengths and/or angles and/or radii being compared with comparable variables of the reference pattern, wherein a highly accurate position should be understood to mean a position which, within a predefined coordinate system, for example GNSS coordinates, is so accurate that this position does not exceed a maximum permissible fuzziness, wherein it is taken into account that the at least two environment features have different colour and/or brightness profiles at different times of day and/or in different seasons and/or in different weather situations; and - operating the automated vehicle , depending on the highly accurate position , wherein the operating comprises determining a trajectory for the automated vehicle and/or travelling along the trajectory by means of automated lateral and/or longitudinal control. - detecting environment data values, wherein the environment data values represent an environment of the automated vehicle , wherein the environment comprises at least two environment features , wherein the at least two environment features are configured as light sources and the pattern is determined by a colour profile and/or a brightness profile of the at least two environment features being determined; - determining a pattern, depending on the at least two environment features ; - reading in map data values, wherein the map data values represent a map, wherein the map represents at least the environment of the automated vehicle , wherein the map comprises a reference pattern, wherein the map comprises the reference pattern depending on a time of day and/or depending on a season and/or depending on a weather situation; - determining the highly accurate position of the automated vehicle , proceeding from a comparison of the pattern with the reference pattern by variables such as lengths and/or angles and/or radii being compared with comparable variables of the reference pattern, wherein a highly accurate position should be understood to mean a position which, within a predefined coordinate system, for example GNSS coordinates, is so accurate that this position does not exceed a maximum permissible fuzziness, wherein it is taken into account that the at least two environment features have different colour and/or brightness profiles at different times of day and/or in different seasons and/or in different weather situations; and - operating the automated vehicle , depending on the highly accurate position , wherein the operating comprises determining a trajectory for the automated vehicle and/or travelling along the trajectory by means of automated lateral and/or longitudinal control. <EOS>