Obstacle Recognition From Forward View
Images From Trams
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.
Related Book
Other papers in this volume
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