Authors
Wisanu Jitviriya1, *, Poommitol Chaicherdkiat1, Noppadol Pudchuen1, Eiji
Hayashi2
1
Faculty of Engineering, King Mongkut’s University of Technology North Bangkok,
Bangsue, Bangkok 10800, Thailand
2
Mechanical Information Science and Technology, Kyushu Institute of Technology,
Iizuka, Fukuoka, 820-8502, Japan
*
Corresponding author. Email: [email protected]
Corresponding Author
Wisanu Jitviriya
Received 11 October 2018, Accepted 19 December 2018, Available Online 30
March 2019.
DOI
https://doi.org/10.2991/jrnal.k.190220.002
Keywords
Hazmat marking chart; SURF; FLANN; 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 combined
with fast library for approximate nearest neighbors 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.
Copyright
© 2019 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license
(http://creativecommons.org/licenses/by-nc/4.0/).