A morphological model-driven approach to real-time road boundarydetection for vision-based automotive systems
Broggi, A.
Berte, S.
Dipartimento di Ingegneria dell'Inf., Parma Univ. ;
This paper appears in: Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on
Publication Date: 5-7 Dec 1994
On page(s): 73-80
Meeting Date: 12/05/1994 - 12/07/1994
Location: Sarasota, FL, USA
ISBN: 0-8186-6410-X
References Cited: 15
INSPEC Accession Number: 4852564
Digital Object Identifier: 10.1109/ACV.1994.341330
Current Version Published: 2002-08-06
Abstract
This work presents a Computer Vision system for road boundary
detection in automotive applications. Images are processed by a
multiresolution algorithm, driven by a-priori knowledge through a
top-down control. In order to face the hard real-time constraints of
automotive tasks, a special purpose massively parallel computer
architecture, PAPRICA, has been developed. The whole system is currently
operative on MOB-LAB mobile laboratory: a land vehicle integrating the
results of the activities of the Italian PROMETHEUS units. The basis of
the algorithm is discussed using the formal tools of mathematical
morphology, while the choice of the computing architecture and of the
computational paradigm is explained. The generality of the presented
approach allows its use also to solve similar problems, namely to detect
features exploiting a long-distance correlation, such as the road
boundaries in vehicular applications
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