서지주요정보
블록 스네이크를 이용한 다차선 감지에 관한 연구 = A study on multi-lane detection using block snakes
서명 / 저자 블록 스네이크를 이용한 다차선 감지에 관한 연구 = A study on multi-lane detection using block snakes / 나재호.
발행사항 [대전 : 한국과학기술원, 1997].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8007106

소장위치/청구기호

학술문화관(문화관) 보존서고

MADE 97003

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도서상태

이용가능

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반납예정일

리뷰정보

초록정보

This thesis presents the road lane detection algorithm. Our proposed algorithm is based on a probabilistic approach," Bayes Decision Rule" that consists of a prior probability model and a likelihood function. This approach is applied to each divided block in the image region and can extract the prominent blocks by using the prior knowledge of road lane direction. This known knowledge can make a probability model and compose the effective posteriori probability function with the gradient information of image. We use this posteriori function to detect the road lane candidate blocks at a coarse level. Among these blocks we must select the road lane. We propose the block snakes that has a block direction energy and a connecting line direction energy as internal energy and a gradient magnitude energy as external energy. This block snakes can decrease the noise effect and computation time compared to the point snakes based on pixel. We also propose the contour following algorithm that can find the multiple contours by only one time search of the image. By the prior model updating using the detected blocks direction information, we can estimate the front road direction and increase the quality of detection procedure.

서지기타정보

서지기타정보
청구기호 {MADE 97003
형태사항 v, 63 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Jae-Ho Na
지도교수의 한글표기 : 권인소
지도교수의 영문표기 : In-So Kweon
학위논문 학위논문(석사) - 한국과학기술원, 자동화및설계공학과,
서지주기 참고문헌 : p. 62-63
주제 차선 검지
베이즈 이론
블록 스네이크
Lane detection
Bayes' theorem
Block snakes
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