MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map Generation

ArXi:2606.04513v1 Announce Type: new Lane-level maps are critical infrastructure for autonomous driving and lane-level navigation, yet constructing and maintaining standardized lane networks for hundreds of cities remains highly labor-intensive. Recent end-to-end vectorized mapping methods can predict lane geometry and topology directly from sensor data, but they typically treat mapping specifications and traffic regulations as implicit, dataset-dependent supervision.