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Article

A Mobile Robot Localization via Indoor Fixed Remote Surveillance Cameras

1
Department of Mechatronics Engineering, Korea Polytechnic University, Si-Heung, Gyunggi-do 429-793, Korea
2
Department of Computer Engineering, Gachon University, Sung-Nam, Gyunggi-do 461-701, Korea
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Procedia Computer Science. Shim, J.H.; Cho, Y.I. Mobile robot localization using external surveillance cameras at indoor. In the Proceedings of the CHARMS 2015 Workshop, Belfort, France, 17–20 August 2015; Volume 56; pp. 502–507.
Academic Editors: Eric T. Matson, Byung-Cheol Min and Donghan Kim
Sensors 2016, 16(2), 195; https://doi.org/10.3390/s16020195
Received: 31 October 2015 / Revised: 27 January 2016 / Accepted: 2 February 2016 / Published: 4 February 2016
Localization, which is a technique required by service robots to operate indoors, has been studied in various ways. Most localization techniques have the robot measure environmental information to obtain location information; however, this is a high-cost option because it uses extensive equipment and complicates robot development. If an external device is used to determine a robot’s location and transmit this information to the robot, the cost of internal equipment required for location recognition can be reduced. This will simplify robot development. Thus, this study presents an effective method to control robots by obtaining their location information using a map constructed by visual information from surveillance cameras installed indoors. With only a single image of an object, it is difficult to gauge its size due to occlusion. Therefore, we propose a localization method using several neighboring surveillance cameras. A two-dimensional map containing robot and object position information is constructed using images of the cameras. The concept of this technique is based on modeling the four edges of the projected image of the field of coverage of the camera and an image processing algorithm of the finding object’s center for enhancing the location estimation of objects of interest. We experimentally demonstrate the effectiveness of the proposed method by analyzing the resulting movement of a robot in response to the location information obtained from the two-dimensional map. The accuracy of the multi-camera setup was measured in advance. View Full-Text
Keywords: localization; mobile robot; surveillance camera; indoor; homography localization; mobile robot; surveillance camera; indoor; homography
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MDPI and ACS Style

Shim, J.H.; Cho, Y.I. A Mobile Robot Localization via Indoor Fixed Remote Surveillance Cameras. Sensors 2016, 16, 195. https://doi.org/10.3390/s16020195

AMA Style

Shim JH, Cho YI. A Mobile Robot Localization via Indoor Fixed Remote Surveillance Cameras. Sensors. 2016; 16(2):195. https://doi.org/10.3390/s16020195

Chicago/Turabian Style

Shim, Jae H., and Young I. Cho 2016. "A Mobile Robot Localization via Indoor Fixed Remote Surveillance Cameras" Sensors 16, no. 2: 195. https://doi.org/10.3390/s16020195

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