ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 13-17, 2013
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W3/13/2013/
doi: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
A system for large-scale automatic traffic sign recognition and mapping
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.
Conference paper (PDF, 689 KB)


Citation: Chigorin, A. and Konushin, A.: A system for large-scale automatic traffic sign recognition and mapping, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W3, 13-17, doi:10.5194/isprsannals-II-3-W3-13-2013, 2013.

BibTeX EndNote Reference Manager XML