If vehicles are to become increasingly autonomous, it is essential to strengthen built-in safety systems, particularly those designed to predict potential dangers.

PREMCO proposes to equip vehicles with a system for monitoring and anticipating the movement of surrounding objects such as pedestrians, cars and bicycles.

SEGULA Technologies has developed an algorithm that uses stereo-correlation processing (in which 2 cameras visually process the scene simultaneously) to predict the trajectories of moving objects.