@article{ref1,
title="Real-time traffic light detection with frequency patterns using a high-speed camera",
journal="Sensors (Basel)",
year="2020",
author="Yabuuchi, Kento and Hirano, Masahiro and Senoo, Taku and Kishi, Norimasa and Ishikawa, Masatoshi",
volume="20",
number="14",
pages="e4035-e4035",
abstract="LEDs are widely employed as traffic lights. Because most LED traffic lights are driven by alternative power, they blink at high frequencies, even at twice their frequencies. We propose a method to detect a traffic light from images captured by a high-speed camera that can recognize a blinking traffic light. This technique is robust under various illuminations because it can detect traffic lights by extracting information from the blinking pixels at a specific frequency. The method is composed of six modules, which includes a band-pass filter and a Kalman filter. All the modules run simultaneously to achieve real-time processing and can run at 500 fps for images with a resolution of 800 × 600. This technique was verified on an original dataset captured by a high-speed camera under different illumination conditions such as a sunset or night scene. The recall and accuracy justify the generalization of the proposed detection system. In particular, it can detect traffic lights with a different appearance without tuning parameters and without datasets having to be learned.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s20144035",
url="http://dx.doi.org/10.3390/s20144035"
}