When a something occurs that could hinder a train passing a level crossing, obstruction warning signals are turned on to show that trains must stop. At present, this system relies on the driver's visual observation. This research aims to make this system more reliable and secure. This paper proposes a method to detect blinking obstruction warning signals and describes evaluation tests that were performed. Evaluation test results showed that these blinking signals could be detected with a detection rate of about 90 percent at a distance 600 meters under running conditions.
In Japan, there are around 33,000 level crossings and over 90% are equipped with automatic barriers. Despite of all the efforts made by government and railway operators, every year more than 200 people are injured due to accidents inside level crossings. In order to detect pedestrians trapped inside level crossings, we propose a new Obstacle Detector (OD) using infrared camera and image processing algorithm. Evaluation result of the proposed method shows no false negative output and by applying filtering methods, probability of false operation of the OD can be reduced more than 10 times, leading to stable operation.
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