▪ Members:

• Ahmet Alper Uzuntepe.

• Ahmet Cebeci.

• Burcu Sultan Orhan.

• Furkan Aydın.

• Hasan Mutlu.

• Şamil Berat Delioğulları.

• Sena Özbelen.

• Taha Kınalı.

 

▪ Responsibilities:

• Implement the software that is needed to create maps of the environment using video footage and other sensor data coming from the robot.

• Define the minimum requirements of the video footage to be used in the mapping algorithms.

• The software should be able to create maps, visualize them, and find the robot’s location inside these maps in real-time.

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▪  Module Interactions:  

• Control Station Module: Work together to create an interface that can display the drawn maps in the control station.

• Embedded Programming Module: Get information about what kind of data the robot’s sensors can provide.

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▪ Technologies to Be Used:

• OpenCV: One of the most popularly used libraries for computer vision. Since our maps will be created using Visual SLAM algorithms, OpenCV is going to be needed.

• ORB-SLAM: A Visual SLAM algorithm for real-time trajectory computation and 3D sparse map construction of the scene.

• Either C++ or Python may be used, depending on how easy and productive each solution is.