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Paper Abstract and Keywords
Presentation 2017-03-14 10:20
Street Gutter Region Extraction Using Projective Geometric Features
Masataka Kudou, Hiroki Takahashi (UEC)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently,researches on automatic driving and driving assistance are actively discussed all over the world.In such researches, realization of safety driving is the most important issue.This paper, therefore, proposes a method to extract street gutter regions in residential area of Japan.In the proposed method,preprocess is applied to an image on a road photographed from automobiles,then,street gutter regions are extracted by using Probabilistic Hough transformation and projective geometric features.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic Driving / Driver Assistance / Hough Transform / Projective Geometry / Residential Area / / /  
Reference Info. ITE Tech. Rep., vol. 41, no. 12, AIT2017-50, pp. 21-24, March 2017.
Paper # AIT2017-50 
Date of Issue 2017-03-07 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2017-03-14 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ochanomizu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AIT 
Conference Code 2017-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Street Gutter Region Extraction Using Projective Geometric Features 
Sub Title (in English)  
Keyword(1) Automatic Driving  
Keyword(2) Driver Assistance  
Keyword(3) Hough Transform  
Keyword(4) Projective Geometry  
Keyword(5) Residential Area  
1st Author's Name Masataka Kudou  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hiroki Takahashi  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2017-03-14 10:20:00 
Presentation Time 15 minutes 
Registration for AIT 
Paper # AIT2017-50 
Volume (vol) vol.41 
Number (no) no.12 
Page pp.21-24 
Date of Issue 2017-03-07 (AIT) 

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