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By Tobias Delbrück, Thomas Besselmann and Rodney Douglas


The goal of this project was to create an algorithm that allows an autonomous robotic car to find its way along a chalk drawn lane by using the inputs of a spike-event-based silicon retina. This machine vision task could not be tackled with the existing frame based vision algorithms. A neuroinspired processing concept was developed whose methods are able to track a line as well as a lane. The events are filtered to increase the signal to noise ratio, undistorted and processed with a line prediction algorithm. The extracted information can be used to handle the controlling of the car in a virtual environment and in reality. The car is able to follow a line and a lane in the virtual reality and it can follow a line o

Year: 2011
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