Road Sign Analysis Using Multisensory Data

Authors:
R. J. López-Sastre;S. Lafuente-Arroyo;P. Gil-Jiménez;P. Siegmann;S. Maldonado-Bascón
Affiliations:
University of Alcalá, Department of Signal Theory and Communications, Polytechnic School, A-2 Km. 33,600 - 28805 - Alcalá de Henares - Madrid, Spain;University of Alcalá, Department of Signal Theory and Communications, Polytechnic School, A-2 Km. 33,600 - 28805 - Alcalá de Henares - Madrid, Spain;University of Alcalá, Department of Signal Theory and Communications, Polytechnic School, A-2 Km. 33,600 - 28805 - Alcalá de Henares - Madrid, Spain;University of Alcalá, Department of Signal Theory and Communications, Polytechnic School, A-2 Km. 33,600 - 28805 - Alcalá de Henares - Madrid, Spain;University of Alcalá, Department of Signal Theory and Communications, Polytechnic School, A-2 Km. 33,600 - 28805 - Alcalá de Henares - Madrid, Spain
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Year:
2007

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Visual sign information extraction and identification by deformable models for intelligent vehicles

IEEE Transactions on Intelligent Transportation Systems

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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.