IEEE Transactions on Intelligent Transportation Systems Special Issue Call for Papers Machine Learning for Traffc Sign Recognition Recognition of traffc signs is a challenging real-world problem relevant for intelligent transportation systems. It is a multi-category classification problem with unbalanced class frequencies. Traffc signs show a wide range of variations between classes in terms of color, shape, and the presence of pictograms or text. However, there exist subsets of classes (e.g., speed limit signs) that are very similar to each other. Further, the classifier has to cope with large variations in visual appearances due to illumination changes, partial occlusions, rotations, weather conditions etc. Although first commercial systems have reached the market and several studies on sign detection have been published, systematic comparisons of di erent approaches are scarce. The special issue focuses on unbiased evaluation of new and existing methods from computer vision, machine learning, and related fields for traffc sign recognition. Empirical evaluation should be based on freely available benchmark data. The special issue is organized in the context of the German Traffc Sign Recognition Benchmark (GTSRB), a competition at this year's IEEE International Joint Conference on Artificial Neural Networks (IJCNN 2011). The GTSRB data is freely available from Important dates First submission deadline: January 11, 2012 Notification of first decision: March 15, 2012 Revision submission deadline: May 15, 2012 Notification of final decision: August 15, 2012 Final manuscript (camera ready) submission deadline: September 1, 2012 Publication: Fourth issue 2012 (December) Submission Manuscripts should be submitted at by selecting the manuscript type \Special Issue on MLFTSR". Guest editors Johannes Stallkamp, Ruhr-Universitat Bochum, Germany Marc Schlipsing, Ruhr-Universitat Bochum, Germany Jan Salmen, Ruhr-Universitat Bochum, Germany Christian Igel, University of Copenhagen, Denmark Contact