Robotic systems for pavement lane painting operations

Sangkyun Woo, Daehie Hong, Woo Chang Lee, Tae Hyung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with fully automating the pavement lane painting operations utilizing robotic technology. This study includes a novel design of robot structure that can be easily installed on 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
Title of host publication22nd International Symposium on Automation and Robotics in Construction, ISARC 2005
Publication statusPublished - 2005 Dec 1
Event22nd International Symposium on Automation and Robotics in Construction, ISARC 2005 - Ferrara, Italy
Duration: 2005 Sep 112005 Sep 14

Other

Other22nd International Symposium on Automation and Robotics in Construction, ISARC 2005
CountryItaly
CityFerrara
Period05/9/1105/9/14

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Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Building and Construction

Cite this

Woo, S., Hong, D., Lee, W. C., & Kim, T. H. (2005). Robotic systems for pavement lane painting operations. In 22nd International Symposium on Automation and Robotics in Construction, ISARC 2005