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This repository contains the source code for the **Agricultural Autonomous Driving Dataset** website from Smart Farming Lab, Leipzig University.
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## Dataset Overview
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The dataset contains multi-modal sensor data from agricultural environments, including:
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- **6 RGB Cameras** (rear left/mid/right, side left/right, stereo ZED)
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- **LiDAR Point Clouds** from Ouster sensor
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- **High-precision GPS** positioning with Novatel OEM7
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- **IMU measurements** for comprehensive environmental perception
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- **Duration**: ~5.3 minutes of synchronized data
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- **Total Messages**: 146,410 across all sensors
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## Website Features
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- **Interactive 3D Point Cloud Viewer** using Three.js
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- **GPS Trajectory Visualization** with interactive maps
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- **Multi-Camera System Display** with sample images
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- **Sensor Timeline** showing data synchronization
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- **Responsive Nerfies-style Design** optimized for all devices
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## Data Extraction
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The website includes sample data extracted from the rosbag files:
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- Sample images from all camera viewpoints
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- GPS trajectory data for mapping
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- Point cloud samples for 3D visualization
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- Sensor timing information
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## Development
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### Prerequisites
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- Python 3.7+
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- Required packages: `numpy`, `opencv-python`, `matplotlib`, `folium`, `mcap`
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### Setup
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1. Clone the repository
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2. Install dependencies: `pip install -r requirements.txt`
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3. Extract sample data: `python extract_rosbag_data.py`
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4. Open `index.html` in a web browser
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### Deployment
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This website is configured for GitHub Pages deployment. Push to the `main` branch to automatically deploy.
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## Citation
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If you use this dataset in your research, please cite:
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```bibtex
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@dataset{smartfarming2025agricultural,
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title={Agricultural Autonomous Driving Dataset},
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author={Smart Farming Lab},
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institution={Leipzig University},
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year={2025},
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}
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```
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## License
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This website is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-sa/4.0/).
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Website template adapted from [Nerfies](https://github.com/nerfies/nerfies.github.io).
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## Contact
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Smart Farming Lab
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Leipzig University
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Germany
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---
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*Showcasing the future of agricultural robotics and autonomous farming systems.*

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