Latest revision as of 19:37, 28 January 2021

Abstract

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.

Original document

The different versions of the original document can be found in:

• http://publica.fraunhofer.de/documents/N-467587.html

• http://link.springer.com/content/pdf/10.1007/978-3-319-44766-7_10,

http://dx.doi.org/10.1007/978-3-319-44766-7_10 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-319-44766-7_10,

https://core.ac.uk/display/129435867,

https://rd.springer.com/chapter/10.1007/978-3-319-44766-7_10,

https://academic.microsoft.com/#/detail/2509473405