@inproceedings{ef98e153f32a40df923432ae30f85281,
title = "Automatic recognition about Pallet based on tracking algorithm of ladar and SLAM",
abstract = "In order to improve the recognition accuracy of AGV on the pallet and the whole AGV system efficiency, using the new methods and combined methods is very necessary. With the increase in the amount of business process and business types, moreover, barcode technology has become increasingly prominent disadvantages. This paper introduces a new pallet identification method based on laser radar algorithm and SLAM algorithm. This new method combines the Laser triangulation principle, linear light range measurement principle and monocular vision with two-dimension code scanning technology, and the efficiency and the precision are improved greatly.",
keywords = "SLAM, monocular vision, pallet, tracking algorithm of ladar",
author = "Lei Gao and Peijang Yuan and Tianmiao Wang and Zhenyun Shi and Shuangqian Cao and Xiaonan Ji",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Advanced Robotics and Mechatronics, ICARM 2016 ; Conference date: 18-08-2016 Through 20-08-2016",
year = "2016",
month = oct,
day = "21",
doi = "10.1109/ICARM.2016.7606918",
language = "英语",
series = "ICARM 2016 - 2016 International Conference on Advanced Robotics and Mechatronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "196--201",
booktitle = "ICARM 2016 - 2016 International Conference on Advanced Robotics and Mechatronics",
address = "美国",
}