Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

@article{Stallkamp2012ManVC,
  title={Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition},
  author={Johannes Stallkamp and Marc Schlipsing and Jan Salmen and Christian Igel},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2012},
  volume={32},
  pages={323-32}
}
Traffic signs are characterized by a wide variability in their visual appearance in real-world environments. For example, changes of illumination, varying weather conditions and partial occlusions impact the perception of road signs. In practice, a large number of different sign classes needs to be recognized with very high accuracy. Traffic signs have been designed to be easily readable for humans, who perform very well at this task. For computer systems, however, classifying traffic signs… CONTINUE READING
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