Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.2991/jrnal.k.190220.002 | ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS |
Keywords | Field | DocType |
Hazmat marking chart,SURF,FLANN and Rescue robot | Software engineering,Computer science,Rescue robot,Automation,Chart | Journal |
Volume | Issue | ISSN |
5 | 4 | 2352-6386 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wisanu Jitviriya | 1 | 1 | 3.42 |
| Poommitol Chaicherdkiat | 2 | 0 | 0.34 |
| Noppadol Pudchuen | 3 | 0 | 0.34 |
| Eiji Hayashi | 4 | 4 | 5.36 |