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Future Computer Vision Algorithms for Traffic Sign Recognition Systems

  • For the assistance of drivers and for autonomous vehicles an automatic recognition of traffic signs is essential. Today’s traffic sign recognition systems are focusing on circular signs. Because speed limit signs are circular and because the recognition of speed limit signs deliver a high customer benefit, such systems have been realized primarily in series production. But for traffic sign recognition there are still many challenges to be tackled. This contribution presents how research and intelligent development of computer vision algorithms will enable much more advanced traffic sign recognition systems on embedded systems by reducing processing time while simultaneously enlarging functionality. The result is a reduction of hardware cost and energy consumption.

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Metadaten
Document Type:Conference Object
Language:English
Author:Stefan Eickeler, Matias Valdenegro, Thomas Werner, Michael Kieninger
Parent Title (English):Schulze, Müller et al. (Eds.): Advanced Microsystems for Automotive Applications 2015. Smart Systems for Green and Automated Driving
First Page:69
Last Page:77
ISBN:978-3-319-20854-1
DOI:https://doi.org/10.1007/978-3-319-20855-8_6
Date of first publication:2015/06/30
Tag:Symmetry detector; Traffic sign detection; Traffic sign recognition
Departments, institutes and facilities:Fachbereich Informatik
Entry in this database:2015/08/21