Robotic systems for pavement lane painting operations

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

    Research output: Contribution to conferencePaperpeer-review

    1 Citation (Scopus)

    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
    Publication statusPublished - 2005
    Event22nd International Symposium on Automation and Robotics in Construction, ISARC 2005 - Ferrara, Italy
    Duration: 2005 Sept 112005 Sept 14

    Other

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

    Keywords

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

    ASJC Scopus subject areas

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

    Fingerprint

    Dive into the research topics of 'Robotic systems for pavement lane painting operations'. Together they form a unique fingerprint.

    Cite this