| Title: | OS3-4 Android-Based Patrol Robot Featuring Automatic Vehicle Patrolling and Automatic Plate Recognition |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 49-53 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS3-4 |
| Author(s): | Chian C. Ho, Shih-Jui Yang, Jian-Yuan Chen, Chang-Yun Chiang, Hsin-Fu Chen |
| Publication Date: | January 19, 2017 |
| Keywords: | Android, robot, automatic vehicle patrolling, automatic plate recognition |
| Abstract: | This work develops an Android-based patrol robot featuring Automatic Vehicle Patrolling (AVP) and Automatic Plate Recognition (APR). The AVP feature integrates 3 novel methods, wheel-wheelcover-based AdaBoost wheel detection, contour-wheel-oriented vehicle approaching, and Ad-Hoc-based remote motion control. The APR feature integrates 4 novel methods, Wiener-deconvolution vertical edge enhancement, AdaBoost plus vertical-edge plate detection, vertical-edge horizontal-projection histogram-segmentation stain removal, and customized optical character recognition. Implementation results show the vehicle detection rate and plate recognition rate of the Android-based patrol robot are over 96% and over 94%, respectively, under various scene conditions. On the other hand, the average execution time of AVP and APR of the Android-based patrol robot takes at most 8 second per round and at most 0.8 second per frame, respectively. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS3/OS3-4.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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