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Proceedings Paper

Integrated 3-D vision system for autonomous vehicles
Author(s): Kun Mean Hou; Mohamed Shawky; Xiaowei Tu
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Paper Abstract

Nowadays, autonomous vehicles have become a multidiscipline field. Its evolution is taking advantage of the recent technological progress in computer architectures. As the development tools became more sophisticated, the trend is being more specialized, or even dedicated architectures. In this paper, we will focus our interest on a parallel vision subsystem integrated in the overall system architecture. The system modules work in parallel, communicating through a hierarchical blackboard, an extension of the 'tuple space' from LINDA concepts, where they may exchange data or synchronization messages. The general purpose processing elements are of different skills, built around 40 MHz i860 Intel RISC processors for high level processing and pipelined systolic array processors based on PLAs or FPGAs for low-level processing.

Paper Details

Date Published: 1 March 1992
PDF: 5 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58794
Show Author Affiliations
Kun Mean Hou, Univ. de Technologie de Compiegne (France)
Mohamed Shawky, Univ. de Technologie de Compiegne (France)
Xiaowei Tu, Univ. de Technologie de Compiegne (France)

Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

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