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 |
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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 |
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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