@article{ref1,
title="Performance evaluation of spatial correlation-based feature detection and matching for automated wheelchair navigation system",
journal="International journal of intelligent transportation systems research",
year="2013",
author="Bejuri, Wan Mohd Yaakob Wan and Mohamad, Mohd Murtadha and Sapri, Maimunah and Rahim, Mohd Shafry Mohd and Chaudry, Junaid Ahsenali",
volume="12",
number="1",
pages="9-19",
abstract="A wheelchair navigation system have emerged in response to high demand for mobile location-aware applications. Nevertheless, single localization technology have several limitations and vulnerabilities; to provide a universal localization solution for various environment. In this paper, we present our new new feature detection and matching algorithm approach for automated wheelchair navigation system. This kind approach is using multi localization solution, which are; Wireless LAN and camera. Thus, these location information are combined by model fitting in order to find the absolute of user target position. As a finding, our experimental results indicate positioning accuracy of 0-6 m with a 23 % trial by given five (5) different locations.<p /> <p>Language: en</p>",
language="en",
issn="1348-8503",
doi="10.1007/s13177-013-0064-x",
url="http://dx.doi.org/10.1007/s13177-013-0064-x"
}