A method for correcting a self-describing dataset of an ego-vehicle, wherein the self-describing dataset comprises parameter values of the ego-vehicle's vehicle parameters and/or vehicle states, the method comprising
- a data collection step including
- receiving, by the ego vehicle, a message from an other entity, and
- extracting, by the ego-vehicle, ego-vehicle related data from the message, wherein the extracted ego-vehicle related data includes at least one parameter value of any one of the ego-vehicle's vehicle parameters and/or vehicle states,
- a data verification step including
- determining, by the ego-vehicle, a reliability score of the extracted ego-vehicle related data, and
- if the reliability score of the extracted ego-vehicle related data is above a predetermined reliability threshold, comparing the extracted ego-vehicle related data with a corresponding parameter value of the self-describing dataset, and if the corresponding parameter value of the self-image is incorrect, updating, in a parameter updating step, the corresponding parameter value of the self-describing dataset with the extracted ego-vehicle related data.