Volume II-3/W3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 13-17, 2013
https://doi.org/10.5194/isprsannals-II-3-W3-13-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 13-17, 2013
https://doi.org/10.5194/isprsannals-II-3-W3-13-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  08 Oct 2013

08 Oct 2013

A system for large-scale automatic traffic sign recognition and mapping

A. Chigorin and A. Konushin A. Chigorin and A. Konushin
  • Graphics & Media Lab, Lomonosov Moscow State University, Russia

Keywords: Mapping, Surveying, Vision, Recognition, Application, Automation

Abstract. We present a system for the large-scale automatic traffic signs recognition and mapping and experimentally justify design choices made for different components of the system. Our system works with more than 140 different classes of traffic signs and does not require labor-intensive labelling of a large amount of training data due to the training on synthetically generated images. We evaluated our system on the large dataset of Russian traffic signs and made this dataset publically available to encourage future comparison.