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From: jair-ed@ptolemy.arc.nasa.gov
Subject: New Article, Vision-Based Road Detection in ...
Message-ID: <1995Dec4.235103.10840@ptolemy-ethernet.arc.nasa.gov>
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Date: Mon, 4 Dec 1995 23:51:03 GMT
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JAIR is pleased to announce the publication of the following article:

Broggi, A. and Berte, S. (1995)
  "Vision-Based Road Detection in Automotive Systems: A Real-Time 
   Expectation-Driven Approach", Volume 3, pages 325-348.
   PostScript: volume3/broggi95a.ps (1762K)
	       compressed, volume3/broggi95a.ps.Z (620K)


   Abstract: The main aim of this work is the development of a
   vision-based road detection system fast enough to cope with the
   difficult real-time constraints imposed by moving vehicle
   applications.  The hardware platform, a special-purpose massively
   parallel system, has been chosen to minimize system production and
   operational costs.
   
   This paper presents a novel approach to expectation-driven low-level
   image segmentation, which can be mapped naturally onto mesh-connected
   massively parallel SIMD architectures capable of handling hierarchical
   data structures.  The input image is assumed to contain a distorted
   version of a given template; a multiresolution stretching process is
   used to reshape the original template in accordance with the acquired
   image content, minimizing a potential function.  The distorted
   template is the process output.

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