Title :
Structural principles in visually guided autonomous vehicles
Author :
von Seelen, W. ; Janssen, H.
Author_Institution :
Inst. fur Neuroinf., Ruhr-Univ., Bochum, Germany
fDate :
30 Aug-3 Sep 1992
Abstract :
Proposes a framework of a neural information processing architecture. The authors attempt to extract the basic principles and operations typical for neural information processing and describe a hierarchical extendible system for the problem of exploration and orientation in a natural environment as an example for an ill-posed and highly complex problem. Realisations of the main elements of this processing structure are discussed
Keywords :
artificial intelligence; computer vision; computerised navigation; image recognition; mobile robots; neural nets; artificial intelligence; mobile robots; navigation; neural information processing architecture; neural nets; pattern recognition; visually guided autonomous vehicles; Cameras; Control systems; Evolution (biology); Information processing; Mobile robots; Network topology; Neural networks; Remotely operated vehicles; Robot vision systems; Testing;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201563