Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors

Multiple sensor systems are extremely used in autonomous driving for providing increased object detection accuracy. We present a multiple sensor based pedestrian detection system that combines aggregated channel features classifiers trained on images captured with two types of sensors: far infrared and stereovision sensors.