Method and system for training machine learning algorithm to detect objects at distance

There is provided a method and a server for training a machine-learning algorithm (MLA) to detect objects in sensor data acquired by a second sensor located at a second physical setting from the objects, the MLA having been trained to recognize the objects in sensor data acquired by a first sensor located at a first physical setting from the objects. First sensor data acquired by the first sensor on a first vehicle is aligned spatially and temporally with second sensor data acquired by the second sensor on a second vehicle. Objects are detected in portions of the aligned first sensor data and classified by the MLA. The object classes in the aligned first sensor data are assigned to corresponding portions in the aligned second sensor data. The MLA is trained on the labelled portions in the aligned second sensor data to recognize and classify objects at the second distance.