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 language | English |
|---|---|
| Publication status | Published - 2005 |
| Event | 22nd International Symposium on Automation and Robotics in Construction, ISARC 2005 - Ferrara, Italy Duration: 2005 Sept 11 → 2005 Sept 14 |
Other
| Other | 22nd International Symposium on Automation and Robotics in Construction, ISARC 2005 |
|---|---|
| Country/Territory | Italy |
| City | Ferrara |
| Period | 05/9/11 → 05/9/14 |
Keywords
- Construction robots
- Kalman filter
- Lane mark
- Lane painting robot
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Building and Construction