@article{ref1,
title="Overhead LIDAR-based motorcycle counting",
journal="Transportation letters",
year="2015",
author="Subirats, Peggy and Dupuis, Yohan",
volume="7",
number="2",
pages="114-117",
abstract="In this paper, the authors investigate the problem of detecting and counting motorcycles in real traffic flow with a single layer laser scanner. This work focuses on the use of simple signal processing techniques to achieve a good performance in real time. The reported results outperform state-of-the art results. First, the authors report a 99·2% correct classification rate on 16 min sequence for a three-vehicle class classification problem. Second, the authors achieve a 0·8% counting error rate on 2 h of real traffic. <br><br>KEYWORDS: Motorcycle counting, Classification, LIDAR, Road safety, Mobility<p />",
language="en",
issn="1942-7867",
doi="10.1179/1942787514Y.0000000038",
url="http://dx.doi.org/10.1179/1942787514Y.0000000038"
}