ITS 2011 - Special Issue: Machine Learning for Traffic Sign Recognition

IEEE Transactions on Intelligent Transportation Systems Special Issue:

Machine Learning for Traffic Sign Recognition

Recognition of traffic signs is a challenging real-world problem
relevant for intelligent transportation systems. It is a
multi-category classification problem with unbalanced class
frequencies. Traffic 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 recognition have been published, systematic
comparisons of different approaches are scarce.

The special issue focuses on unbiased evaluation of new and existing
methods from computer vision, machine learning, and related fields for
traffic sign recognition. Empirical evaluation should be based on
freely available benchmark data.

The special issue is organized in the context of the German Traffic
Sign Recognition Benchmark (GTSRB), a competition at this year's IEEE
International Conference on Artificial Neural Networks (IJCNN 2011).
The GTSRB data is freely available from http://benchmark.ini.rub.de,
the final test data will be released in August.

Important dates

Manuscript submissions due: October 15 2011:
Notification of acceptance: November 20 2011
Revised manuscripts due: December 15 2011
Publication: second issue 2012

Submission

Manuscripts should be submitted at
http://mc.manuscriptcentral.com/t-its by selecting the manuscript type
`Special Issue on MLFTSR'.

Special issue editors

Johannes Stallkamp, Ruhr-Universität Bochum, Germany
Marc Schlipsing, Ruhr-Universität Bochum, Germany
Jan Salmen, Ruhr-Universität Bochum, Germany
Christian Igel, University of Copenhagen, Denmark

Contact

tsr-benchmark-AT-ini.ruhr-uni-bochum.de

--
Johannes Stallkamp
Lehrstuhl Theorie kognitiver Systeme
Institut für Neuroinformatik
Ruhr-Universität Bochum
44780 Bochum, Germany

office: NB 3 / 71
tel: +49 234 32 25566
fax: +49 234 32 14209
email: Johannes.Stallkamp-AT-ini.ruhr-uni-bochum.de
URL: http://www.ini.ruhr-uni-bochum.de