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영문 논문지

홈 홈 > 연구문헌 > 영문 논문지 > JICCE (한국정보통신학회)

JICCE (한국정보통신학회)

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한글제목(Korean Title) High Accuracy Vision-Based Positioning Method at an Intersection
영문제목(English Title) High Accuracy Vision-Based Positioning Method at an Intersection
저자(Author) Cuong Nguyen Manh   Jaesung Lee  
원문수록처(Citation) VOL 16 NO. 02 PP. 0114 ~ 0124 (2018. 06)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
This paper illustrates a vision-based vehicle positioning method at an intersection to support the C-ITS. It removes the minor shadow that causes the merging problem by simply eliminating the fractional parts of a quotient image. In order to separate the occlusion, it firstly performs the distance transform to analyze the contents of the single foreground object to find seeds, each of which represents one vehicle. Then, it applies the watershed to find the natural border of two cars. In addition, a general vehicle model and the corresponding space estimation method are proposed. For performance evaluation, the corresponding ground truth data are read and compared with the vision-based detected data. In addition, two criteria, IOU and DEER, are defined to measure the accuracy of the extracted data. The evaluation result shows that the average value of IOU is 0.65 with the hit ratio of 97%. It also shows that the average value of DEER is 0.0467, which means the positioning error is 32.7 centimeters.
키워드(Keyword) C-ITS   Minor shadow removal   Occlusion segmentation   Positioning system  
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