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# Intuitive Human-Computer Interface for Quadcopter Control
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by Stefan Spiss (stefan.spiss@student.uibk.ac.at)
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# Visual SLAM for Terrain Reconstruction and Autonomous Flight
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Supervisors:
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* Prof. Dr. Matthias Harders (matthias.harders@uibk.ac.at)
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Author:
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* 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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* Simon Haller (simon.haller@uibk.ac.at)
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## 1. Description:
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In this project different systems for direct user-control for quadcopters are explored. Furthermore a control interface is developed which combines the display of the video-stream of the aircraft using a head-mounted display with gesture-based flight control using gesture capturing devices (e.g. LeapMotion, Kinect, Myo) and the use of tactile feedback to indicate obstacles in the surrounding of the quadcopter.
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License: TBA
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Bug tracker: TBA
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Source: TBA
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## 1. Overview
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This project is a feasibility study of Visual SLAM for terrain reconstruction on an unmanned aerial vehicle. The goal is to use an existing SLAM algorithm to create a 3D map of an unknown environment by a quadrocopter in remote-controlled or autonomous flight. Optimally the algorithm will run on the vehicle itself, but if that is not practical a remote machine will be used.
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## 2. Installation
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TBA
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## 3. Usage
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TBA
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## 4. Platform
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TBA
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## 5. Visual SLAM Algorithm
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TBA
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## 6. Autonomous exploration
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TBA
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## 2. Task:
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### 2.1. Problems:
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### 2.2. Goals:
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## 3. Visual stream:
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## 4. Gesture-based control:
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## 5. Tactile feedback: |
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\ No newline at end of file |
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## 7. Change log
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TBA |
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\ No newline at end of file |