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| | license: mit |
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| | # ADIGE 360 — Autonomous Drone Navigation In GPS-denied Environments |
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| | <p align="center"> |
| | <img src="adige_logo.png" width="30%"/> |
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| | > *The Adige is the second-longest river in Italy, flowing into the Adriatic Sea. Water always finds its way. So should a drone.* |
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| | When a micro-drone loses its communication link in a GPS-denied indoor environment, it must be able to navigate autonomously toward open space — preserving onboard sensor data that would otherwise be lost with the vehicle. Like water finding its path, the drone follows the open space. |
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| | Dataset for the paper: |
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| | **A 360-Degree Vision Dataset for Learning Yaw Control on GPS-Denied Micro-UAVs in Disaster-Response-Relevant Environments** |
| | Niklas Voigt, Hartmut Surmann — Westphalian University of Applied Sciences (WHS) |
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| | > Code and dataset will be released upon acceptance. |
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| | 📦 Code: [https://github.com/RoblabWh/adige-360](https://github.com/RoblabWh/adige-360) |