Abstract:Obstacle detection is an important measure to ensure the safety of subway vehicles. However, at present, the detection of obstacles in subway operation has the problems of slow detection speed, poor accuracy and small range by a single sensor in the station environment. In order to make up for it effectively, with the support of the rapid development of binocular vision technology combining visible light and near-infrared, a subway obstacle detection system is designed based on infrared imaging system and visible light imaging system. Based on the analysis of the system functional requirements and operating platform, the system functional modules and hardware composition are defined. Due to the different imaging mechanism of infrared and visible image sensors, the images taken are also different. Finally, the application of the system is analyzed. The results show that the obstacle recognition in front of the train within 80-500m safety limit can be realized.
