Shape classification for traffic sign recognition. Paper presented at the International Federation of Automatic Control IFAC Workshop on Intelligent Autonomous Vehicles, Southampton, 18-21 April 1993.

Author(s)
Besserer, B. Estable, S. Ulmer, B. & Reichardt, D.
Year
Abstract

A traffic sign detection and recognition approach is presented in this paper. This project is a part of the European research project PROMETHEUS (PROgraM for a European Traffic with Highest Efficiency and Unprecedented Safety) and is being developed by DAIMLER BENZ in collaboration with various university labs. Intensity segmentation, shape and traffic sign recognition have been joined together in a processing chain. Uncertainty handling, combining and propagation using Dempster-Shafer rules form the heart of the shape recognition method. Multiple Knowledge Sources extract information from the segmented image and increase knowledge about undefined shapes. Recognized shapes are transmitted to a high-level processing stage which performs model-based traffic sign recognition. (Author/publisher)

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Publication

Library number
20121455 ST [electronic version only]
Source

[s.l., s.n.], [1993], 6 p., 12 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.