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영상 영역 특징 추가 및 유전 알고리즘 기반 최적화를 통한 스틱셀 분할 개선 방법

Title
영상 영역 특징 추가 및 유전 알고리즘 기반 최적화를 통한 스틱셀 분할 개선 방법
Other Titles
Improvement of Stixel Segmentation Using Additive Image Domain Features and Genetic Algorithm-based Optimization
Author
정호기
Keywords
Stixel segmentation; Stixel matching; Stereo vision; Driver assistant system; Genetic algorithm; 스틱셀 분할; 스틱셀 정합; 스테레오비전; 운전자보조시스템; 유전 알고리즘
Issue Date
2015-11
Publisher
한국자동차공학회
Citation
한국자동차공학회 논문집, v. 23, NO 6, Page. 565-574
Abstract
Recently, a medium-level representation named “Stixel” has been extensively researched in stereo visionbased environmental perception. Obstacle detection using Stixel representation consists of three steps: static Stixel generation, dynamic Stixel generation, and Stixel segmentation. This paper focuses on the Stixel segmentation step and has two contributions. One is that it shows that Stixel segmentation performance can be enhanced by utilizing both image domain and real world domain features. The other is that it suggests that parameters used for Stixel segmentation can be effectively tuned based on genetic algorithm. The proposed method was quantitatively evaluated and the result showed that the proposed method increased Stixel segmentation accuracy compared with the previous method.
URI
http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JDCGCC_2015_v23n6_565http://hdl.handle.net/20.500.11754/29118
ISSN
1225-6382; 2234-0149
DOI
10.7467/KSAE.2015.23.6.565
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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