Mobile image sensors for object detection using color segmentation

Sang Hoon Kim, Young Sik Jeong

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish
Pages (from-to)757-763
Number of pages7
JournalCluster Computing
Volume16
Issue number4
DOIs
StatePublished - Dec 2013

Keywords

  • Adhesion force
  • Color segmentation
  • Embedded image processing
  • Wall climbing

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