A 51.2 GOPS Programmable Video Recognition Processor for Vision-Based Intelligent Cruise Control Applications

Shorin KYO; Takuya KOGA; Shin'ichiro OKAZAKI; Ichiro KURODA

A 51.2 GOPS Programmable Video Recognition Processor for Vision-Based Intelligent Cruise Control Applications

Shorin KYO, Takuya KOGA, Shin'ichiro OKAZAKI, Ichiro KURODA

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This paper describes a 51.2 GOPS 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 100 MHz, 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.

Publication: IEICE TRANSACTIONS on Information Vol.E87-D No.1 pp.136-145

Publication Date: 2004/01/01

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Type of Manuscript: Special Section PAPER (Special Section on Machine Vision Applications)

Category: Processor

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Shorin KYO, Takuya KOGA, Shin'ichiro OKAZAKI, Ichiro KURODA, "A 51.2 GOPS Programmable Video Recognition Processor for Vision-Based Intelligent Cruise Control Applications" in IEICE TRANSACTIONS on Information, vol. E87-D, no. 1, pp. 136-145, January 2004, doi: .
Abstract: This paper describes a 51.2 GOPS 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 100 MHz, 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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e87-d_1_136/_p

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@ARTICLE{e87-d_1_136,
author={Shorin KYO, Takuya KOGA, Shin'ichiro OKAZAKI, Ichiro KURODA, },
journal={IEICE TRANSACTIONS on Information},
title={A 51.2 GOPS Programmable Video Recognition Processor for Vision-Based Intelligent Cruise Control Applications},
year={2004},
volume={E87-D},
number={1},
pages={136-145},
abstract={This paper describes a 51.2 GOPS 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 100 MHz, 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.},
keywords={},
doi={},
ISSN={},
month={January},}

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TY - JOUR
TI - A 51.2 GOPS Programmable Video Recognition Processor for Vision-Based Intelligent Cruise Control Applications
T2 - IEICE TRANSACTIONS on Information
SP - 136
EP - 145
AU - Shorin KYO
AU - Takuya KOGA
AU - Shin'ichiro OKAZAKI
AU - Ichiro KURODA
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2004
AB - This paper describes a 51.2 GOPS 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 100 MHz, 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.
ER -