Title:

GS1-2 Development of Automatic Recognition of Hazmat Marking Chart for Rescue Robot

Publication: ICAROB2018
Volume: 23
Pages: 47-50
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2018.GS1-2
Author(s): Wisanu Jitviriya, Poommitol Chaicherdkiat, Noppadol Pudchuen, Eiji Hayashi
Publication Date: February 2, 2018
Keywords: Hazmat marking chart, SURF, FLANN and Rescue robot
Abstract: A long history of first place awards in World RoboCup Rescue Robot competitions is Invigorating Robot Activity Project (iRAP) such as iRAP_PRO, iRAP_FURIOUS, iRAP_JUNIOR and iRAP_ROBOT. In this paper, we would like to introduce and explain an autonomous system of our rescue robots for detection and recognition of hazardous material (hazmat) marking charts. All hazmat tags are considered and computed by using Speeded-Up Robust Feature (SURF) combined with Fast Library for Approximate Nearest Neighbors (FLANN) to match with the templates. Finally, the paper presents experimental results based on real situations to confirm an effect of the pattern recognition of robotics.
PDF File: https://alife-robotics.co.jp/members2018/icarob/data/html/data/GS_pdf/GS1/GS1-2.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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