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Performance enhancements for the detection of rectangular traffic signs

: Pink, L.; Eickeler, S.


Schulze, T.:
Advanced Microsystems for Automotive Applications 2016 : Smart Systems for the Automobile of the Future; This book contains the papers presented at the 20th anniversary edition of the AMAA conference held in Brussels, Belgium in 2016
Cham: Springer International Publishing, 2016 (Lecture notes in mobility)
ISBN: 978-3-319-44766-7 (Online)
ISBN: 978-3-319-44765-0 (Print)
International Forum on Advanced Microsystems for Automotive Applications (AMAA) <20, 2016, Brussels>
Conference Paper
Fraunhofer IAIS ()

Most countries around the world present regulation and rules, applying on public roads, by putting up traffic signs. Therefore it is useful for driver assistance systems and important for autonomous vehicles to understand the meaning and consequences of those signs. One class of traffic signs that present important information is speed limit signs, which underlie strict norms. In this paper, we will introduce performance enhancing methods for the detection of rectangular traffic signs on the example of speed limit signs in the United States of America (USA). We will show that with a small and acceptable loss of accuracy the number of calculations needed and their complexity can be greatly reduced. Due to that, the energy consumption of the embedded hardware and the processing time per frame are reduced.