The sensors commonly used for pedestrian recognition are

Pedestrian Detection (Pedestrian Detection) is the use of computer vision technology to determine the presence of pedestrians in images or video sequences and give accurate positioning. This technology can be combined with pedestrian tracking, pedestrian re-identification and other technologies, applied to artificial intelligence systems, vehicle assisted driving systems, intelligent robots, intelligent video surveillance, human behavior analysis, intelligent transportation and other fields.

Since pedestrians have the characteristics of both rigid and flexible objects, and their appearance is easily affected by clothing, scale, occlusion, posture, and viewing angle, pedestrian detection has become a popular topic in computer vision that is both valuable and challenging to study.

Research on pedestrian detection systems began in the mid-1990s. From the beginning to 2002, researchers borrowed and introduced some mature methods in the field of image processing and pattern recognition, focusing on the study of the available features of pedestrians and simple classification algorithms. Since 2005, the training library of pedestrian detection technology tends to be large-scale, the detection accuracy tends to be practical, and the detection speed tends to be real-time. As the research of universities, research institutes and automobile manufacturers continues to deepen, pedestrian detection technology has been developed rapidly.

Foreign pedestrian detection system research institutions are mainly Carnegie Mellon University (CMU), the Massachusetts Institute of Technology (MIT), Japan's Toyota Automotive Research Center, Daimler Chrysler R & D Center, etc.; the main domestic Tsinghua University, Zhejiang University, Shanghai Jiaotong University, Xi'an Jiaotong University, the University of Science and Technology of China, Jilin University, Chinese Academy of Sciences Institute of Automation, etc..