Robotic Systems for Pavement Lane Painting Operations

Abstract

Robotic Systems for Pavement Lane Painting Operations Sangkyun Woo, Daehie Hong, Woo-Chang Lee, Tae-Hyung Kim 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. Keywords: onstruction Robots, Kalman Filter, Lane Mark, Lane Painting Robot DOI: https://doi.org/10.22260/ISARC2005/0049 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley