Research On Pedestrian Detection For Traffic Safety

More and more countries pay attention to pedestrian safety for its importance in intelligent traffic system. Then, pedestrian detection is the main target in order to ensure their safety. The universal algorithm for pedestrian detection is based on single sensor such as monocular or laser scanner. This paper introduces a multi-sensor fusion method to realize pedestrian detection based on camera and laser scanner which are installed in intelligent vehicle. This paper also has a research on multi-car cooperation to realize pedestrian detection.This paper is divided into four sections. The first part introduces a method of the co-calibration and synchronization between a camera and laser scanner. A proper ROI(region of interests) can be located based on this method which can reduce the algorithm complexity. The second part introduces the main algorithm of pedestrian detection. Through the ROI induced from co-calibration, a method for pedestrian detection is introduced based on image characteristics and a template matching method of Hausdorff distance. The third part presents a pedestrian detection way based on the cooperation between car and car. It can realize pedestrian detection when the car is occluded and warn the pedestrian. This paper uses GPS and traffic beacon to carry out this method. The fourth part introduces the additional detection for road environment。It includes stop line and traffic sign detection. It is helpful for pedestrian safety.