Author(s)

H. Miyayama, T. Ohya, T. Katori & T. Izumi

Abstract

This research is concerned with the safe operation of tram systems. We construct a warning system to the tram driver that recognizes obstacles from the forward view images from the tram cab. For this realization, front view images are processed, the obstacles in the image are recognized, and are judged either safe or dangerous. This method’s characteristic is to use a moving mono camera. At first, the danger area is limited by detecting the track. Static obstacles are detected by the variation of the intensity histogram between the tracks. Moving objects are detected by frame difference considering the tram’s velocity in 3 dimensions. To recognize the obstacles the following characteristic parameters are adopted: - Argument of diagonal in outside square of the detected obstacle - Obstacle’s width By the recognition, obstacles in the images are classified into four categories: \“Man”, \“Bicycle”, \“Car” and \“The other”. Collision or avoidance probability is judged by velocity vectors of the tram and obstacle. If the expected case of collision for \“Man”, \“Bicycle” and \“Car” is danger, then the tram driver is warned by the system. We inspect the reliability of the image recognition in 13 scenes 14 images; the rate of correct judgment reaches 85% and collision judgment reaches 92%. Keywords: front view images of tram, frame difference considered tram’s velocity, obstacle recognition, outside square, measurement used images, collision judgment. 1 Introduction The aim of this study is to keep tram operation safe.

Keywords

front view images of tram, frame difference considered tram’s velocity, obstacle recognition, outside square, measurement used images, collision judgment.