@inproceedings{389b3e8e4f0e492eb7259215be2ab85e,
title = "A VOR-based vision tracking system using fuzzy logic control",
abstract = "This paper presents a vision tracking system which turns a camera towards a selected target under dynamic situations to achieve high recognition performance of a mobile robot. This feature is realized by a fuzzy logic controller calculating the camera turning angles to counteract the robot motion by estimating the motion of a mobile robot with information obtained from MEMS inertial sensors, wheel encoders, and a vision system. The controller can also detect efficiently any slips occurred while a robot moves. The proposed vision tracking system mainly consists of a sensor module and a pan motioned driving module with a camera installed. The proposed system is implemented on a mobile robot and evaluated experimentally, which shows that the developed system achieved the excellent tracking and recognition performance under various scenarios, especially during slip or collision occurrences under dynamic circumstances.",
keywords = "Fuzzy logic control, Mobile robot, Sensor fusion, Vision tracking",
author = "Kwangsoo Kim and Yongsoon Eun and Jaehong Park and Lee, {Chang Hun} and {Dan Cho}, {Dong Il}",
year = "2011",
doi = "10.1109/CCECE.2011.6030504",
language = "English",
isbn = "9781424497898",
series = "Canadian Conference on Electrical and Computer Engineering",
pages = "516--519",
booktitle = "2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011",
note = "2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011 ; Conference date: 08-05-2011 Through 11-05-2011",
}