feat: initial HSAP platform

Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>

algorithms/dms_yolo/code/docker/Dockerfile-jupyter

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+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Builds ultralytics/ultralytics:latest-jupyter image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
+# Image provides JupyterLab interface for interactive YOLO development and includes tutorial notebooks
+
+# Start from Python-based Ultralytics image for full Python environment
+FROM ultralytics/ultralytics:latest-python
+
+# Install JupyterLab for interactive development
+RUN uv pip install --system jupyterlab && \
+    # Create persistent data directory structure
+    mkdir -p /data/{datasets,weights,runs} && \
+    # Configure YOLO directories
+    yolo settings datasets_dir="/data/datasets" weights_dir="/data/weights" runs_dir="/data/runs" && \
+    rm -rf tmp /root/.config/Ultralytics/persistent_cache.json
+
+# Start JupyterLab with tutorial notebook
+ENTRYPOINT ["/usr/local/bin/jupyter", "lab", "--allow-root", "--ip=0.0.0.0", "/ultralytics/examples/tutorial.ipynb"]
+
+# Usage --------------------------------------------------------------------------------------------------------------
+
+# Production builds: https://github.com/ultralytics/ultralytics/blob/main/.github/workflows/docker.yml
+# Example (build): t=ultralytics/ultralytics:latest-jupyter && docker build -f docker/Dockerfile-jupyter -t $t .
+# Example (push): docker push $t
+# Example (pull): t=ultralytics/ultralytics:latest-jupyter && docker pull $t
+# Example (run): docker run -it --ipc=host -p 8888:8888 $t
+# Example (run-with-volume): docker run -it --ipc=host -p 8888:8888 -v "$PWD/datasets:/data/datasets" $t