We created a vision-based pipeline to generate machine-readable work-zone maps from monocular video sources (like dashcams). The system integrates traffic-cone detection, SLAM trajectory estimation, landmark anchoring, and geographic alignment, enabling scalable, cost-effective, and crowd-sourced work-zone mapping.