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Road Sign Analysis Using Multisensory Data

  • R. J. López-Sastre
  • S. Lafuente-Arroyo
  • P. Gil-Jiménez
  • P. Siegmann
  • S. Maldonado-Bascón
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4528)

Abstract

This paper deals with the problem of estimating the following road sign parameters: height, dimensions, visibility distance and partial occlusions. This work belongs to a framework whose main applications involve road sign maintenance, driver assistance, and inventory systems. From this paper we suggest a multisensory system composed from two cameras, a GPS receiver, and a distance measurement device, all of them installed in a car. The process consists of several steps which include road sign detection, recognition and tracking , and road signs parameters estimation. From some trigonometric properties, and a camera model, the information provided by the tracking subsystem and the distance measurement sensors, we estimate the road signs parameters. Results show that the described calculation methodology offers a correct estimation for all types of traffic signs.

Keywords

Inventory System Intelligent Transportation System Partial Occlusion Road Sign Visibility Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • R. J. López-Sastre
    • 1
  • S. Lafuente-Arroyo
    • 1
  • P. Gil-Jiménez
    • 1
  • P. Siegmann
    • 1
  • S. Maldonado-Bascón
    • 1
  1. 1.University of Alcalá, Department of Signal Theory and Communications, Polytechnic School, A-2 Km. 33,600 - 28805 - Alcalá de Henares - MadridSpain

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