@article{ref1,
title="Distance measurement using camera image for automatic classification of driving scenes on cloud",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2021",
author="Sasaki, Goshi and Jiralerspong, Trongmun and Asai, Daisuke",
volume="52",
number="6",
pages="1235-1240",
abstract="Unexpected operation made by the vehicle system are becoming difficult to analyze due to the sophistication of autonomous driving technology. As such, there is a growing demand to collect and classify images of various driving scenes using cloud platform, but this process requires a lot of workload. Therefore, it is necessary to develop a technology to automatically classify driving scenes based on the information of the ego vehicle's surrounding situation. This paper proposes a method to accurately detect objects in front of the vehicle and estimate their distance using a perspective projection model by applying super-resolution and object detection techniques.<p /> <p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.52.1235",
url="http://dx.doi.org/10.11351/jsaeronbun.52.1235"
}