https://github.com/mh-anwar/uas-tracer

Visual Target Detection Influenced Trajectory Generation in Python
https://github.com/mh-anwar/uas-tracer

Last synced: 6 days ago
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Visual Target Detection Influenced Trajectory Generation in Python

• Host: GitHub
• URL: https://github.com/mh-anwar/uas-tracer
• Owner: mh-anwar
• Created: 2024-07-05T22:10:46.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-23T15:50:34.000Z (4 months ago)
• Last Synced: 2024-08-23T17:45:56.133Z (4 months ago)
• Language: Python
• Homepage:
• Size: 1.38 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Visual Target Detection Influenced Trajectory Generation

Implemented using path planning algorithm from [A path planning algorithm for a crop monitoring fixed-wing unmanned aerial system](https://link.springer.com/article/10.1007/s11432-023-4087-4) that develops a path in a field to find an object, which is detected using a drone camera feed that is processed with OpenCV and YOLOV10. Once the object is detected a trajectory towards it is generated. The recommended path, along with current drone statistics and live camera feed are displayed in a HUD. 

## Run Instructions

- [Create an Anaconda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html)

  - ```conda create -n target_tracking```

  - ```conda activate target_tracking```

- Run ```pip install -r requirements.txt```

- Start the "ground control" with ```streamlit run main.py```

### Individual Script Testing

- Run ```python3 path_planning.py``` to generate Waypoints given the input vector map

- Run ```python3 object_detection.py``` to detect objects given a camera feed - requires Waypoints as input

- Run ```python3 trajectory_generation.py``` to generate heading commands and a waypoint