by Jiang, R, Terauchi, M, Klette, R, Wang, S and Vaudrey, T
Abstract:
Lane detection and tracking is a significant component of vision-based driver assistance systems (DAS). Low-level image processing is the first step in such a component. This paper suggests three useful techniques for low-level image processing in lane detection situations: bird’s-eye view mapping, a specialized edge detection method, and the distance transform. The first two techniques have been widely used in DAS, while the distance transform is a method newly exploited in DAS, that can provide useful information in lane detection situations. This paper recalls two methods to generate a bird’s-eye image from the original input image, it also compares edge detectors. A modified version of the Euclidean distance transform called real orientation distance transform (RODT) is proposed. Finally, the paper discusses experiments on lane detection and tracking using these technologies. © 2010 Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.
Reference:
Low-level image processing for lane detection and tracking (Jiang, R, Terauchi, M, Klette, R, Wang, S and Vaudrey, T), In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, volume 30 LNICST, 2010.
Bibtex Entry:
@inproceedings{jiang2010low-leveltracking,
author = "Jiang, R and Terauchi, M and Klette, R and Wang, S and Vaudrey, T",
booktitle = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",
pages = "190--197",
title = "Low-level image processing for lane detection and tracking",
volume = "30 LNICST",
year = "2010",
abstract = "Lane detection and tracking is a significant component of vision-based driver assistance systems (DAS). Low-level image processing is the first step in such a component. This paper suggests three useful techniques for low-level image processing in lane detection situations: bird's-eye view mapping, a specialized edge detection method, and the distance transform. The first two techniques have been widely used in DAS, while the distance transform is a method newly exploited in DAS, that can provide useful information in lane detection situations. This paper recalls two methods to generate a bird's-eye image from the original input image, it also compares edge detectors. A modified version of the Euclidean distance transform called real orientation distance transform (RODT) is proposed. Finally, the paper discusses experiments on lane detection and tracking using these technologies. © 2010 Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.",
doi = "10.1007/978-3-642-11577-6_24",
isbn = "3642115764",
isbn = "9783642115769",
issn = "1867-8211",
keyword = "Bird's-eye view",
keyword = "DAS",
keyword = "Distance transform",
keyword = "Lane detection and tracking",
language = "eng",
}