@inproceedings{c986a389e99f449286517c189a6646c7,
title = "Point cloud feature extraction based integrated positioning method for unmanned vehicle",
abstract = "The characteristics of unmanned vehicle makes it be used widely in industrial production, space exploration and other fields and unmanned vehicle navigation positioning technology is the most basic aspects. This paper discusses the integrated positioning technology of unmanned vehicle which combines vision sensor with the dead reckoning to achieve precise positioning of the vehicles. By introducing the normal estimated of point cloud, the expected plane feature of point cloud data can be extracted with RANSAC well, which is done with Point Cloud Library (PCL). The effect of unmanned vehicle positioning is also discussed with the plane feature. The corresponding program is applied in the P3-AT Pioneer Robot for validation.",
keywords = "Dead reckoning(DR), Point cloud feature extraction, Stereo vision",
author = "Yue Ma and Wei, {Zheng Chao} and Yu Wang",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.590.463",
language = "English",
isbn = "9783038351511",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "463--469",
booktitle = "Innovative Solutions in the Field of Engineering Sciences",
address = "Switzerland",
note = "2014 International Conference on Applied Mechanics and Mechanical Automation, AMMA 2014 ; Conference date: 20-05-2014 Through 21-05-2014",
}