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Autonomous vehicles, learning and reacting to traffic signs

For Lange Nacht der Forschung 2012, we have built two autonomous vehicles, the FuzzleBots. One of them is a Fischertechnik caterpillar, the other a Lego truck. Via the mounted cameras and on-board machine learning algorithms, these vehicles can learn to detect hand-drawn traffic signs, differentiate between them, and react to them by moving, turning or stopping correspondingly. Computations are done on Linux-powered BeagleBoards, while Arduino Uno boards are used for motor control.


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