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Architectural Issues on Vision-Based Automatic Vehicle Guidance: The Experience of the ARGO Project

✍ Scribed by Alberto Broggi; Massimo Bertozzi; Alessandra Fascioli

Book ID: 102617566
Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 407 KB
Volume: 6
Category: Article
ISSN: 1077-2014
DOI: 10.1006/rtim.1999.0191

No coin nor oath required. For personal study only.

✦ Synopsis

his paper discusses the main architectural issues of a challenging application of real-time image processing: the vision-based automatic guidance of road vehicles. Two algorithms for lane detection and obstacle localization, currently implemented on the ARGO autonomous vehicle developed at the University of Parma, are used as examples to compare two dierent computing engines Ð a massively parallel special-purpose SIMD architecture and a general-purpose system Ð while future trends in this ®eld are proposed, based on the experience of the ARGO project.

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