@article{ref1,
title="Automatic extraction of high precision map based on gradient image processing from 3D point clouds",
journal="Transactions of Society of Automotive Engineers of Japan",
year="2016",
author="Hara, Kosuke and Saito, Hideo",
volume="47",
number="1",
pages="183-188",
abstract="High-precision and low-cost lane-level map are required from autonomous driving systems and advanced driving assistant systems. This paper proposes an automatic map synthesis method from laser point clouds that are scanned by a Mobile Mapping System (MMS). In this method, we apply a gradient image processing to detect map line segments. <br><br>RESULTS of the comparison of auto-extracted map and handmade map for the evaluation achieved over 80% extraction rate with an accuracy of 90%. We apply this system to a vehicle localization problem by matching camera images and the map and achieved sub-meter accuracy.<p /><p>Language: ja</p>",
language="ja",
issn="0287-8321",
doi="10.11351/jsaeronbun.47.183",
url="http://dx.doi.org/10.11351/jsaeronbun.47.183"
}