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.
: Focusing on the percentage of residual marking (PRM) and the contrast between the marking and the surrounding road surface as primary indicators of quality. 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 This study addresses the critical need for automated
: Utilizing advanced algorithms to analyze road imagery in real-time to identify wear and tear without interrupting traffic flow. Significance in Transportation 125956
: Evaluating road markings based on characteristics that impact visibility for human eyes and machine sensors.
