Pedestrian detection and tracking is an essential task for automated driving systems. In recent years, several groups around the world have proposed a wide range of solutions with a variety of sensors and methods. The following thesis is developed in collaboration with the FCA, it describes the selection and adaption of the data set based on the FCA's and Politecnico di Torino research interests. Moreover, the thesis proposes an overall pedestrian detection and tracking system using only a Multi-camera set up with a total field of view that covers the 360° around the car. The thesis focuses on the development process for the detection and tracking system.