Real time fuzzy dynamic image understanding system on general roads

Kaoru Hirota; Yukiko Nakagawa; Koji Sakakibara; Kei Tanaka; Kou Kusanagi; Yuri Yoshida

Real time fuzzy dynamic image understanding system on general roads

Kaoru Hirota^*, Yukiko Nakagawa, Koji Sakakibara, Kei Tanaka, Kou Kusanagi, Yuri Yoshida

^*Corresponding author for this work

Hosei University

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

The purpose of this study is to realize a real time robotics vision system for, e.g. ALV (Autonomous Land Vehicle) in a cost effective way using Fuzzy Technology, that can be used in various circumstances (on general roads in Japan) such as from early morning till late evening and under the sunshine or in the rain. The presented system consists of Image processing part, Knowledge base part, and Hardwired Implementation part with VHDL. The Image processing part is concerned with a dynamic image preprocessing based on mainly a conventional image processing technique. The Knowledge base part employs Fuzzy Frame knowledge base to express ambiguous information and natural language using fuzzy slot values. The Hardwired Implementation part designs hardware circuits using VHDL for high speed processing realization.

Original language	English
Pages	106-111
Number of pages	6
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA Duration: 26 Jun 1994 → 29 Jun 1994

Conference

Conference	Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
City	Orlando, FL, USA
Period	26/06/94 → 29/06/94

Cite this

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title = "Real time fuzzy dynamic image understanding system on general roads",

abstract = "The purpose of this study is to realize a real time robotics vision system for, e.g. ALV (Autonomous Land Vehicle) in a cost effective way using Fuzzy Technology, that can be used in various circumstances (on general roads in Japan) such as from early morning till late evening and under the sunshine or in the rain. The presented system consists of Image processing part, Knowledge base part, and Hardwired Implementation part with VHDL. The Image processing part is concerned with a dynamic image preprocessing based on mainly a conventional image processing technique. The Knowledge base part employs Fuzzy Frame knowledge base to express ambiguous information and natural language using fuzzy slot values. The Hardwired Implementation part designs hardware circuits using VHDL for high speed processing realization.",

author = "Kaoru Hirota and Yukiko Nakagawa and Koji Sakakibara and Kei Tanaka and Kou Kusanagi and Yuri Yoshida",

year = "1994",

language = "English",

pages = "106--111",

note = "Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) ; Conference date: 26-06-1994 Through 29-06-1994",

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TY - CONF

T1 - Real time fuzzy dynamic image understanding system on general roads

AU - Hirota, Kaoru

AU - Nakagawa, Yukiko

AU - Sakakibara, Koji

AU - Tanaka, Kei

AU - Kusanagi, Kou

AU - Yoshida, Yuri

PY - 1994

Y1 - 1994

N2 - The purpose of this study is to realize a real time robotics vision system for, e.g. ALV (Autonomous Land Vehicle) in a cost effective way using Fuzzy Technology, that can be used in various circumstances (on general roads in Japan) such as from early morning till late evening and under the sunshine or in the rain. The presented system consists of Image processing part, Knowledge base part, and Hardwired Implementation part with VHDL. The Image processing part is concerned with a dynamic image preprocessing based on mainly a conventional image processing technique. The Knowledge base part employs Fuzzy Frame knowledge base to express ambiguous information and natural language using fuzzy slot values. The Hardwired Implementation part designs hardware circuits using VHDL for high speed processing realization.

AB - The purpose of this study is to realize a real time robotics vision system for, e.g. ALV (Autonomous Land Vehicle) in a cost effective way using Fuzzy Technology, that can be used in various circumstances (on general roads in Japan) such as from early morning till late evening and under the sunshine or in the rain. The presented system consists of Image processing part, Knowledge base part, and Hardwired Implementation part with VHDL. The Image processing part is concerned with a dynamic image preprocessing based on mainly a conventional image processing technique. The Knowledge base part employs Fuzzy Frame knowledge base to express ambiguous information and natural language using fuzzy slot values. The Hardwired Implementation part designs hardware circuits using VHDL for high speed processing realization.

UR - http://www.scopus.com/inward/record.url?scp=0028739995&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0028739995

SP - 106

EP - 111

T2 - Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)

Y2 - 26 June 1994 through 29 June 1994

ER -

Real time fuzzy dynamic image understanding system on general roads

Abstract

Conference

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