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The RoboCup Rescue League was founded with the intention to serve as an international communication platform for development of rescue robots. In regions hit by catastrophes, those robots are meant to find buried people, detect their physical condition and send the proper information to rescue teams.
At the university of Koblenz the rescue robot "Robbie" has been in development for years. Robbie accumulates information about his environment by targeted control of sensors and can act autonomous in unknown regions with help of the previous collected data. He creates an internal 2D map of his environment. This map provides enough information to navigate through space and to localize himself. Unfortunately, 2D maps have a huge drawback. When confronted with uneven terrain or even multilayered disaster areas, this technique will meet its limitations. Considered that most afflicted areas will probably have a bumpy ground, it is important to improve this technique.
That is why 3D-mapping is being required. With the help of RoboCup Rescue Scenario this Bachelor Thesis is going to implement a 3D-mapping algorithm and evaluate the flaws of 2D- and 3D-mapping problems thoroughly.