Detection of vulnerable road users with vehicle cameras

Abstract

Today, the rise of artificial intelligence is inevitable. This technology makes it possible to perform feats that until a few years ago seemed unattainable, especially in the automotive field, where the “intelligence” of cars continues to increase. Nor should we ignore the growing population in cities, with the consequent increase in traffic and all the problems that this entails. In order to solve these problems, the aim is to move towards connected, autonomous, electrified and shared mobility. For these reasons, MOVILIDAD 2030’s project born. Given the great experience that FICOSA has in Advanced Driver Assistance Systems, ADAS, our main objective lies in the development of the external perception system and, particularly, in this thesis we are going to develop the object detection algorithm, in charge of detecting vulnerable road users.