@article{ref1,
title="Improved traffic signal detection for multiple lighting objects",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2017",
author="Yoneda, Keisuke and Suganuma, Naoki and Aldibaja, Mohammad Amro",
volume="48",
number="2",
pages="575-580",
abstract="Automated vehicle researches move on to the public road experiments. This study focuses on a traffic signal detection based on mono-camera, predefined map database and accurate vehicle pose which is estimated by a localization module. An image ROI (Region-Of-Interest) can be calculated by the map data and the vehiclepose. This paper handles a situation with multiple signals appeared in an ROI. We propose a probabilistic method for an image location of the target traffic signal in order to realize simultaneous traffic signal detection for urban driving. Experiments show the performance of the proposed method for real driving data.<p /> <p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.48.575",
url="http://dx.doi.org/10.11351/jsaeronbun.48.575"
}