Update README.md

README.md

@@ -52,4 +52,37 @@ After setting up the environment (refer to the GitHub repository's `Installation
 2.  **Evaluation**: Evaluate your trained model:
     ```bash
     python tools/test.py projects/configs/micbev/mic-bev-seg-gnn.py /path/to/checkpoint.pth --eval bbox
-    ```
+    ```
+
+
+## Citation
+ If you are using our OpenCDA framework or codes for your development, please cite the following paper:
+ ```bibtex
+@misc{zhang2025micbev,
+  title        = {MIC-BEV: Multi-Infrastructure Camera Bird's-Eye-View Transformer with Relation-Aware Fusion for 3D Object Detection},
+  author       = {Zhang, Yun and Zheng, Zhaoliang and Liu, Johnson and Huang, Zhiyu and Zhou, Zewei and Meng, Zonglin and Cai, Tianhui and Ma, Jiaqi},
+  year         = {2025},
+  eprint       = {2510.24688},
+  archivePrefix= {arXiv},
+  primaryClass = {cs.CV},
+  url          = {https://arxiv.org/abs/2510.24688}
+}
+
+```
+The arxiv link to the paper:  [https://arxiv.org/abs/2107.06260](https://arxiv.org/abs/2510.24688)
+
+## License
+
+This project is released under a UCLA research license.
+
+The MIC-BEV codebase is provided for non-commercial academic research only.
+Researchers are permitted to use and modify the source code for their own research purposes.
+
+The following uses are not permitted under this license:
+- Commercial use of any kind
+- Contracted work that generates corporate or institutional revenue
+- Redistribution for commercial products or services
+- Please refer to the LICENSE file for full terms and for information on potential commercial licensing opportunities.
+
+## Contributors
+MIC-BEV is mainly supported by the [UCLA Mobility Lab](https://mobility-lab.seas.ucla.edu/). <br>