Statistical data of traffic accidents reveals that pedestrian fatalities are a particular priority in Europe and Japan. Advanced driver assistance systems which implement technical solutions for pedestrian protection could help to lower the number of these fatalities. Therefore, this study proposes a pedestrian detection and collision warning system based on a monocular camera and a millimeter wave radar, as one of active safety technologies to prevent pedestrians from collision accidents with automobiles. The experimental vehicle is equipped with a camera which can be used to detect the crosswalk and a millimeter wave radar which can be used to detect obstacles in front of the vehicle. A sensor data fusion algorithm is being studied in order to achieve high precision in pedestrian detection. At first, an image processing system is used to detect the existence of a crosswalk in front of the vehicle, then the radar searches around the crosswalk location whether there are any moving objects or not. Next, the position data of the detected crosswalk and the objects are integrated. The system decides whether the situation is critical or not and then a warning is provided to the driver when there is the possibility of a collision.