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Mobile image sensors for object detection using color segmentation
- Authors
- Kim, Sang-Hoon; Jeong, Young-Sik
- Issue Date
- Dec-2013
- Publisher
- SPRINGER
- Keywords
- Wall climbing; Adhesion force; Embedded image processing; Color segmentation
- Citation
- CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.16, no.4, pp 757 - 763
- Pages
- 7
- Indexed
- SCIE
SCOPUS
- Volume
- 16
- Number
- 4
- Start Page
- 757
- End Page
- 763
- ISSN
- 1386-7857
1573-7543
- 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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Related Researcher
- Jeong, Young Sik
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)