Sensors 2010, 10(4), 3655-3680; doi:10.3390/s100403655
Article

Localization of Mobile Robots Using Odometry and an External Vision Sensor

Department of Electronics, University of Alcala, NII km 33,600, Alcala de Henares, Spain
* Author to whom correspondence should be addressed.
Received: 15 January 2010; in revised form: 3 March 2010 / Accepted: 31 March 2010 / Published: 13 April 2010
(This article belongs to the Special Issue Intelligent Sensors - 2010)
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Abstract: This paper presents a sensor system for robot localization based on the information obtained from a single camera attached in a fixed place external to the robot. Our approach firstly obtains the 3D geometrical model of the robot based on the projection of its natural appearance in the camera while the robot performs an initialization trajectory. This paper proposes a structure-from-motion solution that uses the odometry sensors inside the robot as a metric reference. Secondly, an online localization method based on a sequential Bayesian inference is proposed, which uses the geometrical model of the robot as a link between image measurements and pose estimation. The online approach is resistant to hard occlusions and the experimental setup proposed in this paper shows its effectiveness in real situations. The proposed approach has many applications in both the industrial and service robot fields.
Keywords: robotics; vision sensor; intelligent spaces

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MDPI and ACS Style

Pizarro, D.; Mazo, M.; Santiso, E.; Marron, M.; Jimenez, D.; Cobreces, S.; Losada, C. Localization of Mobile Robots Using Odometry and an External Vision Sensor. Sensors 2010, 10, 3655-3680.

AMA Style

Pizarro D, Mazo M, Santiso E, Marron M, Jimenez D, Cobreces S, Losada C. Localization of Mobile Robots Using Odometry and an External Vision Sensor. Sensors. 2010; 10(4):3655-3680.

Chicago/Turabian Style

Pizarro, Daniel; Mazo, Manuel; Santiso, Enrique; Marron, Marta; Jimenez, David; Cobreces, Santiago; Losada, Cristina. 2010. "Localization of Mobile Robots Using Odometry and an External Vision Sensor." Sensors 10, no. 4: 3655-3680.

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