Research Article
Low-Level Image Processing for Lane Detection and Tracking
@INPROCEEDINGS{10.1007/978-3-642-11577-6_24, author={Ruyi Jiang and Mutsuhiro Terauchi and Reinhard Klette and Shigang Wang and Tobi Vaudrey}, title={Low-Level Image Processing for Lane Detection and Tracking}, proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers}, proceedings_a={ARTSIT}, year={2012}, month={5}, keywords={Lane detection and tracking DAS bird’s-eye view distance transform}, doi={10.1007/978-3-642-11577-6_24} }- Ruyi Jiang
Mutsuhiro Terauchi
Reinhard Klette
Shigang Wang
Tobi Vaudrey
Year: 2012
Low-Level Image Processing for Lane Detection and Tracking
ARTSIT
Springer
DOI: 10.1007/978-3-642-11577-6_24
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 (RODT) is proposed. Finally, the paper discusses experiments on lane detection and tracking using these technologies.
