125956

This study addresses the critical need for automated and reliable road marking maintenance to support both human drivers and Automated Vehicle (AV) systems . Traditional methods often require manual inspection or specialized vehicles; this paper proposes a more dynamic approach using computer vision. Key Research Objectives

As semi-autonomous and autonomous vehicles become more common, the visibility of road markings serves as a fundamental infrastructure requirement. This paper provides a framework for maintaining these standards efficiently through automated detection. 125956

: Utilizing advanced algorithms to analyze road imagery in real-time to identify wear and tear without interrupting traffic flow. Significance in Transportation This study addresses the critical need for automated

: Focusing on the percentage of residual marking (PRM) and the contrast between the marking and the surrounding road surface as primary indicators of quality. This paper provides a framework for maintaining these

: Evaluating road markings based on characteristics that impact visibility for human eyes and machine sensors.