MapTR proposes a structured modeling and learning approach for online HD map construction using bird’s eye view (BEV) perception with transformer architectures. It detects and localizes road elements (lanes, boundaries, intersections) from multi-view camera inputs and outputs them as structured vectorized representations. The framework supports real-time inference and has been extended to MapTRv2 with improved performance.