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/docs/en/reference/engine/exporter.md

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+---
+description: Learn how to export YOLOv8 models to formats like ONNX, TensorRT, CoreML, and more. Optimize your exports for different platforms.
+keywords: YOLOv8, export formats, ONNX, TensorRT, CoreML, machine learning model export, AI, deep learning
+---
+
+# Reference for `ultralytics/engine/exporter.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/exporter.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/exporter.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.exporter.Exporter
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.exporter.IOSDetectModel
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.exporter.NMSModel
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.exporter.export_formats
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.exporter.best_onnx_opset
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.exporter.validate_args
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.exporter.try_export
+
+<br><br>

algorithms/dms_yolo/code/docs/en/reference/engine/model.md

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+---
+description: Explore the base class for implementing YOLO models with unified APIs for training, validation, prediction, and more. Learn how to utilize different task types and model configurations.
+keywords: YOLO model, Ultralytics, machine learning, deep learning, PyTorch model, training, validation, prediction, exporting, benchmarking, Ultralytics Platform, Triton Server
+---
+
+# Reference for `ultralytics/engine/model.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.model.Model
+
+<br><br>

algorithms/dms_yolo/code/docs/en/reference/engine/predictor.md

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+---
+description: Discover how to use the Base Predictor class in the Ultralytics YOLO engine for efficient image and video inference.
+keywords: Ultralytics, YOLO, Base Predictor, image inference, video inference, machine learning, Python
+---
+
+# Reference for `ultralytics/engine/predictor.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/predictor.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/predictor.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.predictor.BasePredictor
+
+<br><br>

algorithms/dms_yolo/code/docs/en/reference/engine/results.md

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+---
+description: Explore the details of Ultralytics engine results including classes like BaseTensor, Results, Boxes, Masks, Keypoints, Probs, and OBB to handle inference results efficiently.
+keywords: Ultralytics, engine results, BaseTensor, Results class, Boxes, Masks, Keypoints, Probs, OBB, inference results, machine learning, PyTorch
+---
+
+# Reference for `ultralytics/engine/results.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/results.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/results.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.results.BaseTensor
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.results.Results
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.results.Boxes
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.results.Masks
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.results.Keypoints
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.results.Probs
+
+<br><br><hr><br>
+
+## ::: ultralytics.engine.results.OBB
+
+<br><br>

algorithms/dms_yolo/code/docs/en/reference/engine/trainer.md

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+---
+description: Learn how to use BaseTrainer in Ultralytics YOLO for efficient model training. Comprehensive guide for configurations, datasets, and optimization.
+keywords: Ultralytics, YOLO, BaseTrainer, model training, configuration, datasets, optimization, machine learning
+---
+
+# Reference for `ultralytics/engine/trainer.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/trainer.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/trainer.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.trainer.BaseTrainer
+
+<br><br>

algorithms/dms_yolo/code/docs/en/reference/engine/tuner.md

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+---
+description: Optimize YOLO model performance using Ultralytics Tuner. Learn about systematic hyperparameter tuning for object detection, segmentation, classification, and tracking.
+keywords: Ultralytics, YOLO, hyperparameter tuning, machine learning, deep learning, object detection, instance segmentation, image classification, pose estimation, multi-object tracking
+---
+
+# Reference for `ultralytics/engine/tuner.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/tuner.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/tuner.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.tuner.Tuner
+
+<br><br>

algorithms/dms_yolo/code/docs/en/reference/engine/validator.md

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+---
+description: Explore Ultralytics BaseValidator for model validation in PyTorch, TensorFlow, ONNX, and more. Learn to check model accuracy and performance metrics.
+keywords: Ultralytics, BaseValidator, model validation, PyTorch, TensorFlow, ONNX, model accuracy, performance metrics
+---
+
+# Reference for `ultralytics/engine/validator.py`
+
+!!! success "Improvements"
+
+    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/validator.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/validator.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
+
+<br>
+
+## ::: ultralytics.engine.validator.BaseValidator
+
+<br><br>