A semi-automatic traffic sign detection, classification and positioning system

I.M. Creusen, L. Hazelhoff, P.H.N. With, de

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

6 Citaten (Scopus)

Samenvatting

The availability of large-scale databases containing street-level panoramic images offers the possibility to perform semi-automatic surveying of real-world objects such as traffic signs. These inventories can be performed significantly more efficiently than using conventional methods. Governmental agencies are interested in these inventories for maintenance and safety reasons. This paper introduces a complete semi-automatic traffic sign inventory system. The system consists of several components. First, a detection algorithm locates the 2D position of the traffic signs in the panoramic images. Second, a classification algorithm is used to identify the traffic sign. Third, the 3D position of the traffic sign is calculated using the GPS position of the photographs. Finally, the results are listed in a table for quick inspection and are also visualized in a web browser.
Originele taal-2Engels
TitelElectronic Imaging (EI), Visual Information Processing and Communication III, 24 January 2012, San Francisco, California
RedacteurenA. Said, O.G. Guleryuz, R.L. Stevenson
Plaats van productieBellingham
UitgeverijSPIE
Pagina's83050Y-
DOI's
StatusGepubliceerd - 2012
Evenementconference; Visual Information Processing and Communication III -
Duur: 1 jan. 2012 → …

Publicatie series

NaamProceedings of SPIE
Volume8305
ISSN van geprinte versie0277-786X

Congres

Congresconference; Visual Information Processing and Communication III
Periode1/01/12 → …
AnderVisual Information Processing and Communication III

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