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# Visual SLAM for Terrain Reconstruction and Autonomous Flight
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Author:
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* Adrian Marxer (adrian.marxer@student.uibk.ac.at)
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by **Adrian Marxer** (adrian.marxer@student.uibk.ac.at)
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Supervised by:
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* Justus Piater (justus.piater@uibk.ac.at)
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## 3. Usage
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TBA
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## 4. Platform
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## 4. Starting Platform
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This Bachelor theses was done using the quadcopter provided by the MCI Management Center Innsbruck.
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A general wiki page about the used quadcopter can be found [here](http://mci-quadrocopterws-2014-automation-project.wikia.com/wiki/MCI_Quadrocopter%28WS_2014_Automation_Project%29_Wiki).
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A Raspberry Pi and a camera have been mounted to the platform. The Raspberry Pi is responsible for transmitting a video stream to a remote machine which then processes the data.
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## 5. Tasks
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### 5.1. Transmission of Video Stream
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A Raspberry Pi and a camera will be mounted to the platform. The Raspberry Pi will be responsible for transmitting a video stream to a remote machine which then processes the data.
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## 5. Visual SLAM Algorithm
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### 5.2. Visual SLAM Algorithm
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TBA
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## 6. Autonomous exploration
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### 5.3. Autonomous exploration
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TBA
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## 7. Change log
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## 6. Change log
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TBA |
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\ No newline at end of file |