DocumentCode :
305481
Title :
Collision detection VLSI processor for intelligent vehicles based on efficient coordinate transformation scheme
Author :
Hariyama, Masanori ; Kameyama, Michitaka
Author_Institution :
Dept. of Comput. & Math. Sci., Tohoku Univ., Sendai, Japan
Volume :
2
fYear :
1996
fDate :
5-10 Aug 1996
Firstpage :
755
Abstract :
This paper describes a high-performance VLSI processor for the collision detection of intelligent vehicles. In the collision detection, high-computational power is essential in not only coordinate transformation but also matching operation between vehicle and obstacle pixels. In the processor, a content-addressable memory is introduced to store vehicle pixel information, so that the matching operation is drastically accelerated. Since vehicle pixel information is predetermined and not changed, the high-performance CAM (content addressable memory) based on a ROM cell is proposed. A parallel and pipelined architecture for the high-speed coordinate transformation is also proposed based on two-dimensional vector rotations and matrix multiplications
Keywords :
VLSI; artificial intelligence; content-addressable storage; parallel architectures; path planning; pipeline processing; position control; ROM cell; collision detection VLSI processor; content addressable memory; efficient coordinate transformation scheme; high-performance CAM; intelligent vehicles; matching operation; matrix multiplications; obstacle pixels; parallel architecture; pipelined architecture; two-dimensional vector rotations; vehicle pixel information; CADCAM; Computer aided manufacturing; Intelligent vehicles; Land vehicles; Read only memory; Road accidents; Shape; Solids; Vehicle detection; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
Type :
conf
DOI :
10.1109/IECON.1996.565972
Filename :
565972
Link To Document :
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