[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5302/J.ICROS.2005.11.4.290

Implementation and Control of Crack Tracking Robot Using Force Control : Crack Detection by Laser and Camera Sensor Using Neural Network

Cho Hyun Taek (충남대학교 메카트로닉스공학과)
Jung Seul (충남대학교 메카트로닉스공학과)

Publication Information

Journal of Institute of Control, Robotics and Systems / v.11, no.4, 2005 , pp. 290-296 More about this Journal

Abstract

This paper presents the implementation of a crack tracking mobile robot. The crack tracking robot is built for tracking cracks on the pavement. To track cracks, crack must be detected by laser and camera sensors. Laser sensor projects laser on the pavement to detect the discontinuity on the surface and the camera captures the image to find the crack position. Then the robot is commanded to follow the crack. To detect crack position correctly, neural network is used to minimize the positional errors of the captured crack position obtained by transformation from 2 dimensional images to 3 dimensional images.

Keywords

crack sealing robot; crack detection algorithm; neural network;

Citations & Related Records

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