Update README.md

README.md

@@ -22,4 +22,35 @@ The dataset follows the standard **Eigen Split** for training, validation, and t
 
 - **Original Image Source:** KITTI Vision Benchmark Suite (Raw Data)
 - **Depth Generator:** Depth Anything V2
-- **Data Format:** RGB images in `.png`, Depth maps in `.npy` (float32) for zero-loss precision.
+- **Data Format:** RGB images in `.png`, Depth maps in `.npy` (float32) for zero-loss precision.
+
+## Citation & Acknowledgments
+If you use this dataset in your research, please consider citing the original KITTI dataset and the authors of Depth Anything V2:
+Depth Anything V2:
+```
+@article{depth_anything_v2,
+  title={Depth Anything V2},
+  author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Zhao, Zhen and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang},
+  journal={arXiv preprint arXiv:2406.09414},
+  year={2024}
+}
+```
+
+KITTI Dataset:
+```
+@article{Geiger2013IJRR,
+  author = {Andreas Geiger and Philip Lenz and Christoph Stiller and Raquel Urtasun},
+  title = {Vision meets Robotics: The KITTI Dataset},
+  journal = {International Journal of Robotics Research (IJRR)},
+  year = {2013}
+}
+```
+
+```
+@inproceedings{Menze2015CVPR,
+  author = {Moritz Menze and Andreas Geiger},
+  title = {Object Scene Flow for Autonomous Vehicles},
+  booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year = {2015}
+}
+```