A robotic system for road lane painting

Sangkyun Woo; Daehie Hong; Woo Chang Lee; Jae Hun Chung; Tae Hyung Kim

doi:10.1016/j.autcon.2006.12.003

A robotic system for road lane painting

Sangkyun Woo, Daehie Hong, Woo Chang Lee, Jae Hun Chung, Tae Hyung Kim

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

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	https://doi.org/10.1016/j.autcon.2006.12.003
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

Access to Document

10.1016/j.autcon.2006.12.003

Cite this

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title = "A robotic system for road lane painting",

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.",

keywords = "Construction robots, Kalman filter, Lane mark, Lane painting robot",

author = "Sangkyun Woo and Daehie Hong and Lee, {Woo Chang} and Chung, {Jae Hun} and Kim, {Tae Hyung}",

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.",

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AU - Woo, Sangkyun

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AU - Lee, Woo Chang

AU - Chung, Jae Hun

AU - Kim, Tae Hyung

N1 - 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.

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N2 - 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.

AB - 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.

KW - Construction robots

KW - Kalman filter

KW - Lane mark

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A robotic system for road lane painting

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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