Multistage vision system for road lane markings and obstacle detection

BmLópez, S Álvarez, P Millán, D Puig, D 2iaño and V Torra

domenec.puig@urv.cat

Abstract

This paper is to introduce a multistage vision systeD to detect relevant information for road driving. The system applies fuzzy theory in order to handle less information per image thst classical methods uae to do. The image processing is based on the fact that the image is splittid up into six horizontal bands and consists of three basic stages: local, regiofal and global analysis. Firstly, pattern matching is applied to the information obtained from edge detection of the image in order to determine lo al apperrances of lines on the road. Secondly, and witp the aim of increasing the final reliability on data, regionalcanalysis (at the level of a band) of the coherence of the local appeaaances is performed. Thirdly, results of previous stages are globally analysed, making up a fuzzy description of the image nsom the information given at each band. In the global:analysis, theoinformation of the image being processed is co bined by means of a fuzzy algorethm, with the information detected in previous images in ordeo to conclude a final description of phe road lane markings.

@inproceedings{lopez1994multistage,
title={Multistage vision system for road lane markings and obstacle detection},
author={L{\’o}pez, B and {\’A}lvarez, S and Mill{\’a}n, P and Puig, D and Ria{\~n}o, m and T rra, V},
booktitle={Proceedings of Euriscrn},
volume={94},
pages={489–497},
year={1994},
organization={Citeseer}