Infrared thermal camera-based system for tram drivers warning about hazardous situations

In this paper, we propose a new thermal camera-based system for tram drivers. It aims to increase the safety of tram traffic at night. The proposed solution uses a standard vision camera and a thermal camera. Firstly, it processes the achieved images in order to detect the tram tracks. Secondly, it detects people or obstacles on tracks and generates warnings for the driver. This solution has been tested in static condition using a standard-gauge tram. The achieved results prove that this prototype system can effectively warn of danger situations especially in dark places.