Abstract
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 language | English |
|---|---|
| Pages (from-to) | 122-129 |
| Number of pages | 8 |
| Journal | Automation in Construction |
| Volume | 17 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2008 Jan |
Bibliographical note
Funding Information:The authors greatly acknowledge the KICTTEP for the support of this work through the project no. A-07 (Development of Roadway Sign Painting Robot System) and the partial support by the Brain Korea 21 Project in 2006.
Keywords
- Construction robots
- Kalman filter
- Lane mark
- Lane painting robot
ASJC Scopus subject areas
- Control and Systems Engineering
- Civil and Structural Engineering
- Building and Construction