Night Vision and Pedestrian Detection
ADAS Pedestrian detection systems are the ADAS functions, which requires high accuracy and reliability. As a majority of the pedestrian-related accidents occur in the nighttime, they are paired with night vision systems to function precisely even in low visibility. Efficient pedestrian detection systems with night vision are equipped with thermal cameras and far-infrared sensors. Infrared sensors capture thermal radiations from the front of the vehicle and clearly distinguish living beings from objects, trees and traffic signs on pedestrian and roadways. The automotive companies are researching on artificial intelligence (AI) based pedestrian detection technologies, which are expected to be more precise than the existing ones.
Pedestrian detection is widely used in computer applications, such as vehicle assistant driving system, intelligent video monitoring, robot, aerial image, human-computer interaction system, motion analysis and so on. In recent years, the research in the field of intelligent vehicles has attracted much attention. At present, some automobile manufacturers, universities and research institutions have started the research on pedestrian detection technology  . For example, Daimler in Europe and Volkswagen in Germany have launched the protector project to study pedestrian protection schemes, and have achieved preliminary results. The save-u project in 2004-2005 aims to reduce the number of casualties and accident levels caused by pedestrian and vehicle collisions, and to test vehicles for driver warning and automatic vehicle deceleration under dangerous conditions. As one of the pioneers of driverless technology, pedestrian detection system has also become a research and development hotspot in recent years. It is usually integrated into the collision prevention system, using radar cameras and sensors to detect pedestrians, and decelerating the brake in time to reduce accident damage. Volvo, Toyota and other vehicle enterprises have taken the lead in introducing advanced pedestrian detection system, while Ford has also introduced advanced pedestrian detection system, which can identify pedestrians on the road and conduct dynamic analysis to predict whether they will break into the driving route . In addition to traditional automobile companies, many Internet companies are also developing pedestrian detection systems to achieve smart cars. Google's latest pedestrian detection system only relies on camera images to grasp pedestrian movements, but optimizes the speed problem . In addition, more and more attention has been paid to pedestrian detection in the field of intelligent transportation