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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationElectronic Imaging (EI), Visual Information Processing and Communication III, 24 January 2012, San Francisco, California
EditorsA. Said, O.G. Guleryuz, R.L. Stevenson
Place of PublicationBellingham
PublisherSPIE
Pages83050Y-
DOIs
Publication statusPublished - 2012
Eventconference; Visual Information Processing and Communication III -
Duration: 1 Jan 2012 → …

Publication series

NameProceedings of SPIE
Volume8305
ISSN (Print)0277-786X

Conference

Conferenceconference; Visual Information Processing and Communication III
Period1/01/12 → …
OtherVisual Information Processing and Communication III

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