Paper Info
Title
A 51.2 Gops Programmable Video Recognition Processor For Vision-Based Intelligent Cruise Control Applications
Abstract
This paper describes a 51.2 COPS video recognition processor that provides a cost effective device solution for vision-based intelligent cruise control (ICC) applications. By integrating 128 4-way VLIW (Very Low Instruction Word) processing elements and operating at 100MHz, the processor achieves to provide a computation power enough for a weather robust lane mark and vehicle detection function written in a high level programming language, to run in video rate, while at the same time it satisfies power efficiency requirements of an in-vehicle LSI. Basing on four basic parallel methods and a software environment including an optimizing compiler of an extended C language and video-based GUI tools, efficient development of real-time video recognition applications that effectively utilize the 128 processing elements are facilitated. Benchmark results show that, this processor can provide a four times better performance compared with a 2.4 GHz general purpose micro-processor.
Year
Venue
Keywords
2004
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
video recognition, image processing, parallel processor, video-based driver support systems, ITS, parallel language
Field
DocType
Volume
Parallel language,Video processing,Very long instruction word,Cruise control,Computer science,SIMD,Image processing,Chip,High-level programming language,Computer hardware,Embedded system
Journal
E87D
Issue
ISSN
Citations 
1
1745-1361
1
PageRank 
References 
Authors
0.39
0
4
Name
Order
Citations
PageRank
Shorin Kyo18510.66
Takuya Koga2131.81
Shin'ichiro Okazaki310314.26
Ichiro Kuroda414823.39