Fast Road Sign Detection Using Hough Transform for Assisted Driving of Road Vehicles | Zendy

Miguel A. García-Garrido | Zendy; Miguel Ángel Sotelo | Zendy; Ernesto Martín-Gorostiza | Zendy

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Fast Road Sign Detection Using Hough Transform for Assisted Driving of Road Vehicles

Author(s) -

Miguel A. García-Garrido,

Miguel Ángel Sotelo,

Ernesto Martín-Gorostiza

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-29002-8

DOI - 10.1007/11556985_71

Subject(s) - hough transform , computer science , robustness (evolution) , computer vision , adverse weather , artificial intelligence , traffic sign , frame rate , frame (networking) , sign (mathematics) , real time computing , image (mathematics) , telecommunications , mathematics , geography , mathematical analysis , biochemistry , chemistry , meteorology , gene

A system for real-time traffic sign detection is described in this paper. The system uses restricted Hough transform for circumferences in order to detect circular signs, and for straight lines for triangular ones. Some results obtained from a set of real road images captured under both normal and adverse weather conditions are presented as well in order to illustrate the robustness of the detection system. The average processing time is 30 ms per frame, what makes the system a good approach to work in real time conditions.

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