Computer vision techniques, such as machine learning implemented for pedestrian recognition, are frequently employed in safety contexts for autonomous or semi-autonomous driving systems. Since the data redundancy is crucial in the field of human safety, a multiple sensor system is usually used. The collected data is then combined in order to obtain the most accurate estimation of the proximity of the vehicle. The robotic model presented in this work is a mobile platform with three cameras and a lidar mounted on the top of an aluminium profile. Intrinsic and extrinsic parameters are the object of the calibration part of this project; a particular focus must be done on the calibration of the thermal camera, due to the fact that it can't detect colors and can't be set through canonical methodologies.