@article{ref1,
title="Distraction estimation method based on driving behavior characteristics of heavy-duty truck drivers",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2021",
author="Iwao, Mayumi and Yamaguchi, Kazuhiko and Kusakari, Yuka and Tsuda, Ryuta",
volume="52",
number="1",
pages="76-81",
abstract="In order to develop an algorithm of distraction warning for heavy-duty truck drivers, a subjective evaluation of forward careless state which should have to be warned in case of distraction, was conducted with a various driving behavior clipped scenes. Then, an estimation algorithm for forward careless state to be warned was devised, based on the face orientation/position, recognized by Driver Monitoring System (DMS). The algorithm was implemented on the DMS embedded in the A pillar of the cabin, and evaluated on an actual traffic road. As a result, it was confirmed that this newly developed algorithm consists a good capability of detecting various types of distraction properly.<p /> <p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.52.76",
url="http://dx.doi.org/10.11351/jsaeronbun.52.76"
}