@inproceedings{3f00a9e88a674738b1e9d9f6edf8c8ea,
title = "Easy i-move: Structured image recognition solution for automatic guided vehicles",
abstract = "There are many kinds of image processing application in the industry, to improve better performance of producing, Automatic Guide vehicles (AGV) solution have been driven in service, for instance, the expensive solution such as light detection and ranging (LIDAR), magnetic tape guided and RFID are used. In the industry which not only search for better delivery performance but also search for economic efficiency. Here we present an economic efficiency solution, Easy i-Move for AGVs guiding system to fulfill customers{\textquoteright} necessity. In this study, we focus on color tape image recognition technology based on HSI color model. The implementation of the system architecture and the technology of image recognition in the proposed system are described and validated in this paper.",
keywords = "Automatic Guided Vehicle, Color model, Image recognition",
author = "Kuo, {Yen Hui} and Lin, {Shu Hui} and Wu, {Eric Hsiao Kuang}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2018",
doi = "10.1007/978-3-319-70730-3_1",
language = "???core.languages.en_GB???",
isbn = "9783319707297",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "3--11",
editor = "Jeng-Shyang Pan and Tsu-Yang Wu and Yong Zhao and Jain, {Lakhmi C.}",
booktitle = "Advances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceedings of the 1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications",
}