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+<div align="center">
+  <h1>AerialFusionMapNet</h1>
+
+  <h3>Online HD Map Construction with Aerial-Onboard BEV Fusion</h3>
+  
+  <a href="https://arxiv.org/abs/2606.24784"><img src="https://img.shields.io/badge/arXiv-Paper-brightgreen.svg" alt="arXiv Paper"></a>
+  <a href="https://github.com/DriverlessMobility/AerialFusionMapNet">
+    <img src="https://img.shields.io/badge/GitHub-black.svg?logo=github" alt="GitHub">
+  </a>
+</div>
+
+## Introduction
+
+This repository provides pretrained checkpoints for **“AerialFusionMapNet: Online HD Map Construction with Aerial-Ground BEV Fusion”**, accepted at IEEE ITSC 2026.
+
+AerialFusionMapNet extends online HD map construction by fusing camera-based BEV features with ego-aligned aerial imagery from AID4AD. The released checkpoints are intended to reproduce the reported evaluation results and support further research on aerial-ground fusion for online map construction.
+
+For implementation details, configuration files, and evaluation instructions, please refer to the GitHub repository.
+
+## Citation
+
+If you use AerialFusionMapNet in your research, please cite:
+
+```bibtex
+@article{lengerer2026aerialfusionmapnet,
+  title={AerialFusionMapNet: Online HD Map Construction with Aerial-Onboard BEV Fusion},  author={Daniel Lengerer and Mathias Pechinger and Klaus Bogenberger and Carsten Markgraf},
+  year={2026},
+  journal={arXiv preprint arXiv:2606.24784}
+}