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Mobile image sensors for object detection using color segmentation

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An Erratum to this article was published on 14 June 2013

Abstract

The intelligent mobile robot with sensors and image processing embedded system combines the suction and aerodynamic attraction to achieve good balance between strong adhesion force and high mobility. Experimental results showed that the robot can move upward on the wall at the speed of 2.9 m/min and carry 5 kg payload in addition to 2.5 kg self-weight, which record the highest payload capacity among climbing robots of similar size. It also implements object detection ability using effective color transform and segmentation technique for the exact target detection on the wall using a embedded camera system, communication module and several active sensors.

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Acknowledgements

This work was supported by a research grant from Hankyong National University (Korea) for a academic exchange program in 2012.

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Authors and Affiliations

  1. Dept. of Electrical, Electronic and Control Engineering, Hankyong National University, Anseong, Korea

    Sang-Hoon Kim

  2. Dept. of Multimedia Engineering, Dongkuk University, Seoul, Korea

    Young-Sik Jeong

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  1. Sang-Hoon Kim
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  2. Young-Sik Jeong
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Correspondence to Sang-Hoon Kim.

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Kim, SH., Jeong, YS. Mobile image sensors for object detection using color segmentation. Cluster Comput 16, 757–763 (2013). https://doi.org/10.1007/s10586-013-0267-6

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  • DOI: https://doi.org/10.1007/s10586-013-0267-6

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