Abstract: Aspects concern a method for gathering image training data for training a machine learning model to detect features for vehicle navigation or vehicle control, comprising mounting a camera onto a vehicle or the driver of a vehicle, determining a location of the vehicle, determining a relevancy of the determined location for map data generation or vehicle control and recording a video with the camera if the determined relevancy is above a predetermined threshold and recording single images if the determined relevancy is below the predetermined threshold.

Abstract: Aspects concern a server computer for verifying a location of a user device including a memory interface connected to a memory device that stores a database including verification and gathering questions, wherein each question of the verification and gathering questions is associated with a location, the database including an answer to each verification question and not including an answer to each gathering question; and a processing unit configured to: receive location data representing the location of the user device; select a verification question and a gathering question associated with the location of the user device; transmit the verification question and the gathering question to the user device and receive an answer to each of the verification and gathering question from the user device; if the answer provided by the user device to the verification question corresponds to the answer included in the database, verify the location of the user device.