Add model card and metadata for D2-V2X (#1)

- Add model card and metadata for D2-V2X (3f2b6720a87ed2ae486e13b2f5c267d602d47d5a)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,3 +1,66 @@
 ---
 license: mit
+library_name: peft
+pipeline_tag: image-text-to-text
 ---
+
+# D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving
+
+This repository contains the model weights (adapter) for **D2-V2X**, a spatially-aware Question-Rationale-Answer (QRA) framework designed for cooperative autonomous driving.
+
+[**Paper (arXiv)**](https://arxiv.org/abs/2605.24098) | [**GitHub**](https://github.com/KevinRichard1/D2-V2X) | [**Dataset**](https://huggingface.co/datasets/kr301/d2v2x-qra)
+
+## Overview
+D2-V2X addresses sensor occlusions in single-vehicle Vision-Language Models (VLMs) by establishing a benchmark for cooperative reasoning using multimodal vehicle and infrastructure sensors (V2X). It establishes a baseline that aligns 3D LiDAR features with the VLM's latent space, enforcing Chain-of-Thought (CoT) rationales to articulate spatial relations explicitly.
+
+## Usage
+
+For environment setup and data preparation, please refer to the [official GitHub repository](https://github.com/KevinRichard1/D2-V2X).
+
+### Training
+To train the model using the provided pipeline:
+```bash
+python train.py \
+    --qwen_path="/path/to/qwen/model" \
+    --train_path="/path/to/train/dataset" \
+    --val_path="/path/to/val/dataset" \
+    --img_path="/path/to/images" \
+    --train_feature_path="/path/to/train/lidar/features" \
+    --val_feature_path="/path/to/val/lidar/features" \
+    --output_path="/checkpoint/path" \
+    --mode="" \
+    --stage="" \
+    --lr=2e-5 \
+    --epochs=3 \
+    --batch_size=1 \
+    --accum_steps=64
+```
+
+### Evaluation
+To evaluate the model:
+```bash
+python evaluate.py \
+    --qwen_path="/path/to/qwen/model" \
+    --checkpoint_path="/checkpoint/path" \
+    --inference \
+    --evaluate \
+    --mode="" \
+    --json_path="/path/to/test/dataset" \
+    --img_path="/path/to/images" \
+    --test_feature_path="/path/to/test/lidar/features" \
+    --inference_save_path="results.json"
+```
+
+## Citation
+If you find this work useful, please cite:
+```bibtex
+@misc{richard2026d2v2xdepthdrivencooperativev2x,
+      title={D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving}, 
+      author={Kevin Richard and Alphin Varghese and Colin Pham and David Oh and Srijan Das},
+      year={2026},
+      eprint={2605.24098},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2605.24098}, 
+}
+```