A robotic system for road lane painting

Sangkyun Woo, Daehie Hong, Woo Chang Lee, Jae Hun Chung, Tae Hyung Kim

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


This paper deals with fully automating the pavement lane painting operations utilizing robotic technologies. This study includes a novel design of a robot structure that can be easily installed on a support commercial truck and image processing algorithms that can recognize deteriorated lane marks. With this robot system, a single operator within a cab is capable of tracking the existing faded lane mark and performing re-painting operations on-site, so that the dangerous and time consuming manual operations can be eliminated. The feasibility of the developed robot was explored through the experiments with image data acquired from real pavement surface.

Original languageEnglish
Pages (from-to)122-129
Number of pages8
JournalAutomation in Construction
Issue number2
Publication statusPublished - 2008 Jan


  • Construction robots
  • Kalman filter
  • Lane mark
  • Lane painting robot

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction


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