DocumentCode :
3326409
Title :
A powerful and flexible co-processor for feature extraction in a robot vision system
Author :
Graefe, Volker ; Fleder, Karlheinz
Author_Institution :
Inst. fuer Messtech., Univ. der Bundeswehr Munchen, Neubiberg, Germany
fYear :
1991
fDate :
28 Oct-1 Nov 1991
Firstpage :
2019
Abstract :
Concepts, implementation, and evaluation of a novel processor for feature extraction are described. The processor is a freely programmable RISC (reduced instruction set computer) machine with a modified Harvard architecture, designed to operate as a coprocessor in combination with each parallel processor of the multiprocessor robot vision system BVV 3. It performs 107 complex operations per second, each of which may comprise up to seven elementary operations. The processor has been tested in a number of real-world experiments, including road following. In this application it has demonstrated its ability to analyze a TV image in less than 4 ms. The analysis included six independent tracking processes on different parts of the road´s edges, six spatial line-following processes attached to the trackers, and two geometrical models for both edges of the road
Keywords :
computer vision; computerised navigation; feature extraction; mobile robots; parallel architectures; position control; reduced instruction set computing; BVV 3; Harvard architecture; computerised navigation; computerised pattern recognition; feature extraction processor; parallel processor; programmable RISC; road following; robot vision; tracking; Computer aided instruction; Computer architecture; Computer vision; Concurrent computing; Coprocessors; Feature extraction; Reduced instruction set computing; Roads; Robot vision systems; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
Type :
conf
DOI :
10.1109/IECON.1991.239031
Filename :
239031
Link To Document :
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